OVERLAID CONTOUR PLOT MINITAB

If you have a stored model and want to plot the main effects and interaction effects with fitted means, use Factorial Plots. Therefore, any variable settings for InjTemp and InjPress that fall in this region should produce a product with acceptable mean responses. For the fondue data, Minitab uses the fitted response variables to create the overlaid contour plot. Under Responses , move the variables that you want to include in the plot from the Available list to the Selected list. Any model that you previously fit for that response variable is overwritten. The white area in the plot displays the combination of values for North and South that yield satisfactory fitted values for both response variables. To plant a flag, right-click the plot, choose Plant Flag in the menu that appears, and then click the point on the plot that you want to annotate. CoolTemp and MeasTemp are continuous variables that are held at 35 and approximately

You must specify one process variable to display on the X Axis and the Y Axis. The solid grey contour represents the design space for this mixture design. Tip To annotate the values of the predictors and the responses for any point on this plot, use Plant Flag. By using this site you agree to the use of cookies for analytics and personalized content. If the model is out of date, you need to re-fit the model before you can use the model. The contours of each response are displayed in a different color. The white area in the plot displays the combination of values for North and South that yield satisfactory fitted values for both response variables. All categorical variables are held constant at one level.

Any model that you previously fit for that response variable is overwritten. Means for response variables that contain continuous measurements, such as length or weight. The white area in the plot displays the combination of values for North and South that yield satisfactory fitted values for Isolation and Heat Flux when East is held at By using this site you agree to the use of cookies for analytics and personalized content.

To plant a flag, right-click the plot, choose Plant Flag in the menu that appears, and then click the point on the plot that you want to annotate. This dialog box varies by the type of model that you used to fit the data.

Use your maximum acceptable pllot in High. You must specify one process variable to display on the X Axis and the Y Axis.

Minitab displays the following types of fitted values: Optimal variable values for one response may be far from optimal for another response. If you want to include multiple responses on the plot, you must fit a model for each response. A financial analyst investigates the factors that are associated with the probability that a college student has certain credit cards.

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For more information about how to interpret the results for a mixture design, go to Example of Overlaid Contour Plot with a mixture design. The white area in the plot displays the combination of values for InjTemp and InjTemp that yield satisfactory fitted values for all three response variables, given the holding values for the other three variables.

Response Low High MasterCard 0 0.

What is an overlaid contour plot?

The white area in the plot displays the combination of proportions for Emmenthaler, Gruyere, and Broth that yield satisfactory oveelaid values for the response variables of Flavor, Quantity, and Burned.

The analyst fits binary logistic regression models for both American Express and MasterCard to determine how the predictors are associated with the probability of having each of these credit cards. You can try other holding values to see the plot change. If you change the holding levels, the contours also change, sometimes drastically.

By using this site you agree to the use of cookies for analytics and personalized content. Draw an overlaid contour plot with sealant and pressure on the x- and y-axes and flexibility and strength represented by contours.

Thus, contour plots are valid only for fixed levels of the extra variables.

Use caution because the white feasible region extends outside of the design space. If the model is out of overlai, you need to re-fit the model before you can use the model. If you have at least one stored model and want to find values that optimize one or more responses, use Response Optimizer. Minitab automatically stores the most recent model for a response variable each time you run the analysis.

Only response variables with up-to-date models from the same analysis are in the Available list. The overlaid contour plot displays contours for these bounds vs. The type of fitted response minihab that Minitab displays depends on the type of response variable in your model.

Enter your data for Overlaid Contour Plot – Minitab

Each overlaid contour plot consists of a pair of continuous variables one for pkot x axis, one for the y axis. Use to visually identify the feasible variables for multiple responses for a model.

Response Select a response variable to see what terms are in the model for this response. If there is no point of diminishing returns, use a very small number, one that is probably not achievable.

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The process variable, Temperature, is not displayed in the plot. Terms Displays the terms that are in the most recent model that you fit for the response variable.

The solid grey contour represents the design space for this mixture design. When to use an alternate analysis If you have a stored model and want to predict the value of the response variable for combinations of variable settings that you specify, use Predict. The white area in the plot displays the combination of values for North and South that yield satisfactory fitted values for both response variables.

Define the contour values for Overlaid Contour Plot – Minitab

By using this site you agree to the use of cookies for analytics and personalized content. Because the graph displays the mean values for the response at the corresponding factor settings, you should set your low and high values well within your specification limits to ensure that individual observations fall with the specification limits. If your goal is to maximize the response larger-is-betteryou may want to set the High value at the point of diminishing returns.

Heat flux and Insolation. All categorical variables are held constant at one level. To annotate the values of the predictors and the responses for any point on this plot, use Plant Flag. You can use overlaid contour plots in combination with the Response Optimizer to find the best setting for each variable.

You cannot modify the term list. Under Select components or process variables as axeschoose one of the following: Interpret the results Minitab uses the stored models to create the overlaid contour plot. If you have a stored model and want to plot the main effects and interaction effects with fitted means, use Factorial Plots.

Overlaid contour plots allow you to visually identify an area of compromise among the various responses. Applications that involve multiple responses present a different challenge than single response studies. An energy engineer wants to determine how heat flux and insolation are predicted by the position of the east, south, and north focal points.

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