Lab-9-15-09 - (c Obtain the residuals the predicted values...

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Stat 305D LAB Fall 09 September 15, 2009 Save your work as I may collect them at the end of the LAB! 1 Goal The goal of this lab is to teach the basics features of JMP. You should understand where the values obtained are comming from. We will learn how to do the following: 1. For simple linear model:(data set 1) (a) Fit a simple linear equation to a data set (b) Read the output to obtain the equation of the estimated least squares line (c) Obtain the residuals, the predicted values and check for goodness of fit ( R 2 ) (d) Plot the residuals against the predicted values, and obtain the normal plots for the residuals 2. For a curve or polynomial equation: (data set 1) (a) Fit a curve or polynomial equation to a data set (b) Read the output to obtain the equation of the estimated least squares equation
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Unformatted text preview: (c) Obtain the residuals, the predicted values and check for goodness of fit ( R 2 ) (d) Plot the residuals against the predicted values, and obtain the normal plots for the residuals 3. For fitting a surface equation to a data set:(data set 2) (a) Fit a surface equation to a data set (b) Read the output to obtain the least squares estimate of the surface equation (c) Obtain the residuals, the predicted values and check for goodness of fit( R 2 ) (d) Plot the residuals against the predicted values and the explanatory variables, and obtain the normal plots for the residuals 4. How to draw (a) stem-and-leaf plot (b) boxplots (c) Quantiles of a data set (d) normal plot...
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This note was uploaded on 09/15/2009 for the course STAT 6509005 taught by Professor Hoeksema during the Spring '09 term at Iowa State.

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