– Lecture6-Design Expert Software – Tutorial | PDF | Design Of Experiments | Experiment
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Next SlideShares. You are reading a preview. Activate your 30 day free trial to continue reading. Continue for Free. Upcoming SlideShare. What’s new in Design-Expert version 9? A robust multi criteria optimization approach. Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Share Design expert tutorial pdf free download. Top clipped slide. Design expert 9 tutorials May. Download Now Download Download to read offline.
Calibration and validation model Simulation. Verfication and validation of simulation models. Testing strategies in Software Engineering. All dxpert want to know frew sensitivity analysis. More Related Content Slideshows for you. Simulacion luis garciaguzman Validation and verification. Specification based or black box techniques. Designing Design expert tutorial pdf free download Treatments. Viewers also liked. Pharmaceutical Design of Experiments for Beginners. Taguchi -Orthogonal Array Quality by Design : Design of experiments.
S1 – Process product optimization using design experiments and response design expert tutorial pdf free download Selecting experimental design expert tutorial pdf free download for response surface modeling. Design of experiment methodology. Risk Assessment for Control of Elemental Impurities. Resume Vaibhav Patwardhan Updt. AppleOne – Sample Resumes. Optimizing Powder Coating Usage. Similar to Design expert 9 tutorials L8 scientific visualization of data.
Statistical flaws in excel calculations. Central Composite Design. Evaluation and optimization of variables using response surface methodology.
Data mining techniques using weka. Using microsoft excel for weibull analysis. Formulas in ms excel for statistics report2 in ict math ed.
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Your Design-Expert program offers rotatable 3D plots to easily view response surfaces from all angles. Use your mouse to set flags and explore the contours on interactive 2D design expert tutorial pdf free download.
Our numerical optimization function finds maximum desirability for dozens of responses simultaneously! Take advantage of this information gold-mine that is literally at your fingertips. Also, do not overlook the helpful annotations provided on all reports.
Design expert tutorial pdf free download and Whitcomb have also written a Primer on Mixture Design. The alpha out tytorial enforced after AHM is completed by doing a final sweep using backward selection, after which hierarchy is again corrected by the program. Simulator now provides an entry field for ratio of variance between whole dxpert sub plots so trainers can set up split-plot exercises.
Slides available on request to stathelp statease. Largest effect not selected. These new designs can be seen at the bottom of the factorial design builder in DX9 see the box in the screenshot, below right. Randomized designs remain available, but some feature new, more descriptive names, and they have been resorted for easier access. As always in Stat-Ease software, the most commonly used designs get top priority, that is, they are listed in order of usefulness.
For a quick overview of the changes, compare the screenshots below. New Design New Designs The data, shown below, is a measure of the endplay: 61, 61, 57, 56, 60, 52, 62, 59, 62, 67, 55, 56, 52, 60, 59, 59, 60, 59, 49, 42, 55, 67, 53, 66, Then click Continue. Design- Expert then presents the needed statistics as seen here. Also, take a look at the tool under the Post Analysis node for Point Prediction, in particular the tolerance interval, a very useful statistic for a purchaser who needs to establish incoming specifications.
This concludes our feature tour of simple sample tools in DX9. Feel free to explore other tools. If you need more information fownload any design expert tutorial pdf free download, press for Tips, Screen Tips по этому сообщению the main menu or push the light bulb icon. If you are in designn hurry, skip the boxed bits—these are sidebars for those who want to spend more time and explore things. The data for this example come from the Stat-Ease bowling league.
Three bowlers Pat, Mark, and Shari are competing for the last team position.
– Stat-Ease » v11 » Tutorials
Flag for inappropriate content. We will lead you through the latter case: a multiple response optimization. Be sure you find the appropriate polynomial to fit the data, examine the residuals, and plot the response surface. Click the field intersecting at Name column and row 4 below right. Notice that the points are coded by color to the level of response they represent — going from cool blue for lowest values to hot red for the highest. Remember, you chose only to fit a quadratic model, so this should be no surprise.
Design expert tutorial pdf free download.Alibre Atom3D
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There is so much information about web designing scattered everywhere on the internet in the form of blog posts, case studies, and online courses. Here I am sharing my collection of 13 free online web design courses and 17 free PDF eBooks that you can download and learn a lot about web designing. Getting Real from 37Signals. Getting real is one of the most famous books for web designing. It covers everything you need to know to create a faster, smarter, and successful web application.
Good thing is that the online version is free to read and use. So get some time to read it for sure. It is well written and practical. A very small whitepaper but very effective. It provides insight into the web designing ideas and things to care through a few case studies. I found it very interesting to read and an eye-opener. Even if you are not in the web designing field but still I would suggest you read it. If you have your own blog or website, you will find it very useful.
Access by Design is organized into tight, well-constructed chapters each of which focuses on a key area of design, such as forms, color, and layout. If you want to learn jQuery that is a must for any front-end developer, then this is the best place to start off. It starts with basics and provides all the jQuery functions in a very easy-to-read manner.
A good read for beginners. The WebBook is a page book that tells you everything you need to know in order to create a home or business Web site from scratch. It also tells you how to market and promote your site, and how to make money from it. Web Style Guide written by Patrick J. Lynch and Sarah Horton. Web Style Guide 3rd Edition can be read online for free. A classic book in the field of Typographic styles. A must-read for anybody who wants to know the basics of HTML5.
Search User Interfaces by Marti A. This book presents the state of the art of search interface design, based on both academic research and deployment in commercial systems. Web Design Reference Guide by Peachpit. This guide provides a snapshot of everything about Web design. The information in this guide includes reference, news, and access to the Web design community.
The eBook is also available on Scribd and it has been selected on Scribd as a featured document. This free ebook can be termed as a complete and comprehensible guide on website design. Almost every aspect of website design is exemplified in this ebook by representing ample examples. This web design ebook will definitely help beginners to hone their creativity. MacLeod, an advertising executive and popular blogger with a flair for the creative give his 26 tried-and-true tips for being truly creative.
Each point illustrated by a cartoon drawn by the author himself. A good and short book defining web design principles and usage of Breadcrumbs, Tags, Drop Downs, Overlays, Icons, etc.
Its one of the oldest books on Web designing published way back in Why Design? What designers offer to clients is a way of thinking. As a matter of fact, many successful creatives use similar processes on a daily basis. It provides basic insight of accessibility of websites and a good read for new web designers as a basic guide book. How Do You Design? KnockKnock by Seth Godin.
This is an eBook for beginners who are trying to create their first website. Its a step by step guide that you can follow and create your own website in very less time.
Good for starters in the World Wide Web. Another eBook for a startup in website design. A good read for the newbie in website creation and designing field. This guide is for those who want to get the basics figured out first, and worry about the finer details later on. This book has been made to help you learn the 10 broad classifications of type.
These are the basic foundations of what you need to learn to learn typography and it is essential for any designer to know how to classify type. I hope some of the above mentioned Online Books or eBooks will help you in learning some new stuff of web designing. I am a Bitcoin Miner. I created a blog after getting a lot knowledge from these tutorials.
Thanks for providing these tutorials. Thank You for sharing such an informative post. I like the way you present the things and make the post more presentable.
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Thanks for sharing these all Resources to learn web design. Very useful information for beginners, who started learning web designing. Pankaj, Could you say if you know of any economical software which can edit epub files. I have several epub books on nook and itunes and i need to update some web addresses and some other things in those files. I need an editor where i could delete some information and put the updated information in, without having to create the epub package all over again from scratch.
Originally i used Atlantis to convert an rtf file into epub and then used sigil to check the epub and correct some changes. Hi, pankaj i was just trying to find some resource on website development using java programming language. Can i have some resource using that??
For website, you need to attach your container to HTTP server, simple configuration. Thanks for sharing your thoughts. I really appreciate your efforts and I am waiting for your next write ups thanks once again. If some one needs to be updated with newest technologies then he must be pay a visit this web site and be up to date daily. Your email address will not be published.
I would love to connect with you personally. Pankaj I love Open Source technologies and writing about my experience about them is my passion.
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Download Alibre Design | Alibre Design Installer.Design expert 9 tutorials
Cheer Chain Enterprise Co. Next SlideShares. You are reading a preview. Activate your 30 day free trial to continue reading. Continue for Free. Upcoming SlideShare. What’s new in Design-Expert version 9? A robust multi criteria optimization approach. Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Share Email. Top clipped slide. Design expert 9 tutorials May. Download Now Download Download to read offline. Calibration and validation model Simulation.
Verfication and validation of simulation models. Testing strategies in Software Engineering. All you want to know about sensitivity analysis. More Related Content Slideshows for you. Simulacion luis garciaguzman Validation and verification. Specification based or black box techniques.
Designing Malaria Treatments. Viewers also liked. Pharmaceutical Design of Experiments for Beginners. Taguchi -Orthogonal Array Quality by Design : Design of experiments. S1 – Process product optimization using design experiments and response surfa Selecting experimental variables for response surface modeling.
Design of experiment methodology. Risk Assessment for Control of Elemental Impurities. Resume Vaibhav Patwardhan Updt. AppleOne – Sample Resumes. Optimizing Powder Coating Usage. Similar to Design expert 9 tutorials L8 scientific visualization of data. Statistical flaws in excel calculations. Central Composite Design. Evaluation and optimization of variables using response surface methodology.
Data mining techniques using weka. Using microsoft excel for weibull analysis. Formulas in ms excel for statistics report2 in ict math ed. Introducing SigmaXL Version 7. Cloneselector software training. Why do a designed experiment. More from Cheer Chain Enterprise Co. Acunetix product presentation. Riverflow2 d gpu tests Maxqda12 features -detailed feature comparison for more information about eac Irresistible content for immovable prospects.
Intro to user centered design. How to Land that First Customer. How to think like a startup. What to Upload to SlideShare. A few thoughts on work life-balance. Is vc still a thing final. The GaryVee Content Model. Mammalian Brain Chemistry Explains Everything. Related Books Free with a 30 day trial from Scribd. Related Audiobooks Free with a 30 day trial from Scribd. Out of the Wreckage Kirk Yeager. On Animals Susan Orlean. Albert Bourla. Design expert 9 tutorials 1.
Your Design-Expert program offers rotatable 3D plots to easily view response surfaces from all angles.
Use your mouse to set flags and explore the contours on interactive 2D graphs. Our numerical optimization function finds maximum desirability for dozens of responses simultaneously! Take advantage of this information gold-mine that is literally at your fingertips. Also, do not overlook the helpful annotations provided on all reports. Anderson and Whitcomb have also written a Primer on Mixture Design. The alpha out is enforced after AHM is completed by doing a final sweep using backward selection, after which hierarchy is again corrected by the program.
Simulator now provides an entry field for ratio of variance between whole and sub plots so trainers can set up split-plot exercises. Slides available on request to stathelp statease. Largest effect not selected. These new designs can be seen at the bottom of the factorial design builder in DX9 see the box in the screenshot, below right. Randomized designs remain available, but some feature new, more descriptive names, and they have been resorted for easier access. As always in Stat-Ease software, the most commonly used designs get top priority, that is, they are listed in order of usefulness.
For a quick overview of the changes, compare the screenshots below. New Design New Designs The data, shown below, is a measure of the endplay: 61, 61, 57, 56, 60, 52, 62, 59, 62, 67, 55, 56, 52, 60, 59, 59, 60, 59, 49, 42, 55, 67, 53, 66, Then click Continue.
Design- Expert then presents the needed statistics as seen here. Also, take a look at the tool under the Post Analysis node for Point Prediction, in particular the tolerance interval, a very useful statistic for a purchaser who needs to establish incoming specifications. This concludes our feature tour of simple sample tools in DX9.
Feel free to explore other tools. If you need more information at any time, press for Tips, Screen Tips off the main menu or push the light bulb icon. If you are in a hurry, skip the boxed bits—these are sidebars for those who want to spend more time and explore things. The data for this example come from the Stat-Ease bowling league. Three bowlers Pat, Mark, and Shari are competing for the last team position.
They each bowl six games in random order — ideal for proper experimentation protocol. Results are: Game Pat Mark Shari 1 2 3 4 5 6 Mean The captain needs to know if the average scores are significantly different, given the variability in individual games. This one-factor case study provides a good introduction to the power of simple comparative design of experiments DOE.
It exercises many handy features found in Design-Expert software. Many other features and outputs are detailed only in the help system, which you can access by clicking Help in the main menu, or in most places via a right click, or by pressing the F1 key context sensitive.
Start the program by double clicking the Design-Expert icon. You will then see the main menu and icon bar. Click on File in the main menu. Unavailable items are dimmed.
If you prefer using your keyboard, press the Alt key and underlined letter simultaneously, in this case Alt F.
File menu Select the New Design item with your mouse. To try this, press Cancel to re-activate the tool bar. Opening a new design with the blank sheet icon Using either path, you now see four yellow tabs on the left of your screen. The Factorial tab comes up by default. Select Multilevel Categoric for this design. If your factor is numerical, such as temperature, then you would use the One Factor option under the Response Surface tab.
If any of your factors are quite hard to control, that is, not easily run at random levels, then consider using the Split- Plot Multilevel Categoric design. However, restricting randomization creates big repercussion on the power of your experiment, so do your best to allow all factors to vary run-by-run as chance dictates. Design-Expert by default will lay out your design in a randomized run order. Enter Bowler as the name of the factor.
Tab down to the Units field and enter Person. Next tab to Type. Leaving Type at its default of Nominal, tab down to the Levels field and enter 3. Now tab to L 1 level one and enter Pat.
Type Mark, and Shari for the other two levels L2 and L3. Screen tips on factor Type Press Continue to specify the remaining design options. In the Replicates field, which becomes active by default, type 6 each bowler rolls six games. Design-Expert now recalculates the number of runs for this experiment: Leave the number of Responses at the default of 1. Now click on the Name box and enter Score. Tab to the Units field and enter Pins. Response name dialog box — completed At this stage you can skip the remainder of the fields and continue on.
However, it is good to gain an assessment of the power of your planned experiment. It also highlights the legend. You can click it also — it is interactive! In this case, at the center point, you see that factor A time produces a relatively small effect as it changes from the reference point. Therefore, because you can only plot contours for two factors at a time, it makes sense to choose B and C — and slice on A. Start by clicking Contour on the floating Graphs tool. Then in the Factors Tool right click the Catalyst bar and select X1 axis by left clicking it.
Making factor C the x1-axis You now see a catalyst versus temperature plot of conversion, with time held as a constant at its midpoint. Contour plot of B:temperature versus C:catalyst Design-Expert contour plots are highly interactive.
For example, right-click up in the hot spot at the upper middle and select Add Flag. Right click and Delete flag to clean the slate. Deleting the flag 3D surface plot Now to really get a feel for how the response varies as a function of the two factors chosen for display, select from the floating Graphs Tool the 3D Surface.
You then will see three- dimensional display of the response surface. If the coordinates encompass actual design points, these will be displayed. On the Factors Tool move the slide bar for A:time to the right. This presents a very compelling picture of how the response can be maximized. Right click at the peak to set a flag. Move your mouse over the graph. Seeing a point beneath the surface See an actual result predicted so closely lends credence to the model. Things are really looking up at this point!
Rotation tool Move your cursor over the tool. The pointer changes to a hand. Now use the hand to rotate the vertical or horizontal wheel. Whether you use the rotation tool or simply grab the plot with your mouse, watch the 3D surface change. Notice how the points below the surface are shown with a lighter shade. The Stat-Ease program developers thought of everything! Before moving on from here, go back to the Rotation tool and press Default to put the graph back in its original angle.
Analyze the data for the second response, activity. Be sure you find the appropriate polynomial to fit the data, examine the residuals and plot the response surface. Hint: The correct model is linear. Design-Expert will save your models. To leave Design-Expert, use the File, Exit menu selection. You should go back to that tutorial if you’ve not completed it. For details on optimization, see our on-line program help. Call or visit our web site for information on content and schedules. In this section, you will work with predictive models for two responses, yield and activity, as a function of three factors: time, temperature, and catalyst.
These models are based on results from a central composite design CCD on a chemical reaction. Click the open design icon see below and load the case study data modeled by Stat-Ease and saved to a file named RSM-a.
Open design icon To see a description of the file contents, click the Summary node under the Design branch at the left of your screen. Within the design status screen you can see we modeled conversion with a quadratic model and activity with a linear model, as shown below.
You can also re-size columns with your mouse. Click on the Coefficients Table node at the bottom branch. For instance, notice that the coefficient for AC This shows, for the region studied, that the AC interaction influences conversion more than Factor B. In our example, we chose to use the full quadratic model.
Therefore, some less significant terms shown in black are retained, even though they are not significant at the 0. Right click any cell to export this report to PowerPoint or Word for your presentation or report.
Check it out: This is very handy! Under the Optimization branch to the left of the screen, click the Numerical node to start.
We will detail POE later. The program restricts factor ranges to factorial levels plus one to minus one in coded values — the region for which this experimental design provides the most precise predictions. Response limits default to observed extremes. In this case, you should leave the settings for time, temperature, and catalyst factors alone, but you will need to make some changes to the response criteria.
Desirabilities range from zero to one for any given response. The program combines individual desirabilities into a single number and then searches for the greatest overall desirability. A value of one represents the ideal case. A zero indicates that one or more responses fall outside desirable limits. For this tutorial case study, assume you need to increase conversion. Click Conversion and set its Goal to maximize.
As shown below, set Lower Limit to 80 the lowest acceptable value, and Upper Limit to , the theoretical high. Conversion criteria settings You must provide both these thresholds so the desirability equation works properly.
By default, thresholds will be set at the observed response range, in this case 51 to Otherwise we may come up short of the potential optimum. Now click the second response, Activity. Enter Lower Limits and Upper Limits of 60 and 66, respectively. Values outside that range are not acceptable. Activity criteria settings The above settings create the following desirability functions: 1.
Close out Screen Tips by pressing X at the upper-right corner of its screen. Weights give added emphasis to upper or lower bounds or emphasize target values. With a weight of 1, di varies from 0 to 1 in linear fashion. Weights greater than 1 maximum weight is 10 give more emphasis to goals. Weights less than 1 minimum weight is 0.
Try pulling the square on the left down and the square on the right up as shown below. Before moving on from here, re- enter the Lower and Upper Weights at their default values of 1 and 1; respectively. If you want to emphasize one over the rest, set its importance higher. By leaving all importance criteria at their defaults, no goals are favored over others. Then click Contents. From here you can open various topics and look for any details you need.
Now click the Options button to see what you can control for the numerical optimization. After doing your first search for the optimum, go back to this Option and slide it one way and the other.
Observe what happens to the solutions presented by Design-Expert. If you move the Filter bar to the right, you decrease the number. Conversely, moving the bar to the left increases the solutions. Click OK to close Optimization Options.
Running the optimization Start the optimization by clicking the Solutions tab. It defaults to the Ramps view so you get a good visual on the best factor settings and the desirability of the predicted responses. Numerical Optimization Ramps view for Solutions Your results may differ The program randomly picks a set of conditions from which to start its search for desirable results — your results may differ.
Multiple cycles improve the odds of finding multiple local optimums, some of which are higher in desirability than others. Due to random starting conditions, your results are likely to be slightly different from those in the report above. The colored dot on each ramp reflects the factor setting or response prediction for that solution. The height of the dot shows how desirable it is. Press the different solution buttons 1, 2, 3,… and watch the dots. They may move only very slightly from one solution to the next.
However, if you look closely at temperature, you should find two distinct optimums, the first few near 90 degrees; further down the solution list, others near 80 degrees.
You may see slight differences in results due to variations in approach from different random starting points. For example, click the last solution on your screen. Does it look something like the one below? Second optimum at lower temperature, but conversion drops, so it is inferior If your search also uncovered this local optimum, note that conversion falls off, thus making it less desirable than the higher-temperature option.
The Solutions Tool provides three views of the same optimization. Drag the tool to a convenient location on the screen. Click the Solutions Tool view option Report. T02 – Scientific Method. Notes Business Research Methods. Language Vocabulary. Chapter 2. Check List for Lab Report Final 1.
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Esp Questionnaire. ENMA 1. Advanced Analytics Final. Swot Analysis and Value Chain. Spss Trainingboek Advanced Statistics and Datamining. Adolescent Alcoholism and Drug Addiction. Handling measurement issues. Use it to specify the name and destination of your data file. Enter a file name in the field with default extension dxpx. We suggest tut-mix. Click Save. Analyze the Results Assume your experiments are completed. You now need to enter responses into the Design-Expert software.
For tutorial purposes, we see no benefit to making you type all the numbers. Select File, Open Design. Click the file named Mix. Press OK. You now should be displaying the response data shown below. Note the design layout returns to the default selection, which we have not changed. In some cases this improves the statistical properties of the analysis. For example, when responses vary over several orders of magnitude, the log scale usually works best. Also, leave the coding for analysis as pseudo because this re-scales the actual component levels to 0 — 1.
In the meantime, bring up Help, Contents. Select Component Scaling in Mixture Designs. After studying all the information you find here, close Help by pressing X. Next click the Fit Summary tab. Here Design-Expert fits linear, quadratic, special cubic, and full cubic polynomials to the response. Drag it to the right. To begin your analysis, look for any warnings about aliasing.
In this case, the full cubic model and beyond could not be estimated by the chosen design — an augmented simplex design. Remember, you chose only to fit a quadratic model, so this should be no surprise. Now on the floating Bookmarks press forward to the Sum of Squares breakdown. This is the default model if none of the factors causes a significant effect on the response. The output then shows the significance of each set of additional terms. Due to the constraint that the three components must sum to a fixed total, you will see only two degrees of freedom associated with the linear mixture model.
In this case, these terms are aliased. Always confirm this suggestion by reviewing all tables under Fit Summary. On the floating Bookmarks tool click Lack of Fit to move on to the next table. This table compares residual error with pure error from replication. If residual error significantly exceeds pure error, then deviations remain in the residuals that can be removed using a more appropriate model. Residual error from the linear model shows significant lack of fit this is bad , while quadratic, special cubic, and full cubic do not show significant lack of fit this is good.
Lack of fit table At this point the quadratic model statistically looks very good indeed. These tables, or any selected subset, can be cut and pasted into a word processor, spreadsheet, or any other Window application. You may select models other than this defaulting quadratic model from the pull down list. Be sure to do this in the rare cases when Design-Expert suggests more than one model.
On the current screen you are allowed to manually reduce the model by clicking off terms that are not statistically significant. For example, in this case, you will see in a moment that the AB term is not statistically significant. You will see a recommendation pop up on what works best as a general rule. If you really want to be competent on this, attend our Mixture Design for Optimal Formulations workshop. Close Tips by clicking X. That is good as you will infer from the annotation provided by Design-Expert.
The probability values show the significance of each term. Because the mixture model does not contain an intercept term, the main effect coefficients linear terms incorporate the overall average response and are tested together. Use Bookmarks to jump to the next report — R-Squared statistics. Note the more than adequate precision Adeq Precision value of Next, view the coefficients and associated confidence intervals for the quadratic model. The annotations provide ideas on how they differ.
Diagnose the Statistical Properties of the Model The most important diagnostic, the normal probability plot of the residuals, comes up by default. Normal Probability Plot of Residuals The data points should be approximately linear.
A non-linear pattern such as an S-shaped curve indicates non-normality in the error term, which may be corrected by a transformation. There are no signs of any problems in our data. Be aware that residuals are externally studentized unless you elect otherwise not advised. Studentization counteracts varying leverages due to design point locations.
For example, center points carry little weight in the fit and thus exhibit low leverage. Externalizing the residuals isolates each one in comparison to the others so discrepant results stand out more. Now click the Influence option. To bring up bring up case-by-case details on many of the statistics shown graphically for diagnostic purposes: Press Report. It measures change in each predicted value that occurs when that response is deleted.
Given that only this one diagnostic is flagged, it probably is not a cause for alarm. Explanations for most of these graphs are addressed in earlier tutorials. Get more details via Screen Tips and Help. Click the Model Graphs tab. The 2D contour plot comes up by default in graduated color shading. In this case you see a plot of viscosity as a function of the three mixture components. Move this floating tool as needed by clicking on the top blue border and dragging it. The tool controls which factor s are plotted on the graph.
The Gauges view is the default. Each component listed has either an axis label, indicating that it is currently appearing on the graph, or a red slider bar, which allows you to choose specific settings for those not currently plotted.
This case study involves only three components, all of which fit on one mixture plot — a ternary diagram. Therefore, you do not see any red slider bars. If you did, they would default to the midpoint levels of the components not currently assigned to axes. You could then change a level by dragging the red slider bars left or right. Place your mouse cursor over the contour graph. Then notice in the lower-left corner of the screen that Design-Expert displays the predicted response and coordinates.
Coordinates display at lower-left corner of screen To enable a handier tool for reading coordinates off contour plots, go to View, Show Crosshairs Window. Showing crosshairs window Now move your mouse over the contour plot and notice that Design-Expert generates the predicted response for specific values of the factors that correspond to that point.
Full Crosshairs display Close the crosshairs window by clicking X. With your left mouse button held down, drag over the lower right corner of the contour graph. Corner identified for zoom Now the area you chose is magnified. You can do this with the trace plot, which provides silhouette views of the response surface. The real benefit from this plot is for selecting axes and constants in contour and 3D plots. From the floating Graphs Tool select Trace.
Trace plots show the effects of changing each component along an imaginary line from the reference blend defaulted to the overall centroid to the vertex. For example, click on the curve for A and it changes color.