JMP Example 5 Use the previous yield data from different dissolution temperatures. Make a model that describes the effect of temperature on the yield. Note that here, temperature is the factor and the yield is the response.

As before, we open JMP, and insert the data given.

Use the “Fit Model” capability to apply to the data Use the “Fit Model” capability to apply to the data. This will help generate a mathematical model around the data supplied.

The “Fit Model” window will appear The “Fit Model” window will appear. The response is always placed in the “Pick Role Variables Y” box, and regression variables are always added to the “Construct Model Effects” Box. Then JMP interprets the data to create the most accurate regression model possible.

Since yield is the response, select yield, and add it to the Y “Pick Role Variables” window.

Since temperature is the only regressor variable, select it and add it to the “Construct Model Effects Window”.

When all factors are added to the “Construct Model Effects” window, run the model.

JMP will automatically generate plots with the “Summary of Fit” data below them.

When you scroll down in the “Fit Least Squares” Window, the model data will be available. This data includes the “Summary of Fit”, “Analysis Of Variance” (a.k.a. ANOVA), and “Parameter Estimates”. Note: the “Parameter Estimates” section gives the regression coefficients.