14.03.2014 Views

Basic Analysis and Graphing - SAS

Basic Analysis and Graphing - SAS

Basic Analysis and Graphing - SAS

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

118 Performing Bivariate <strong>Analysis</strong> Chapter 4<br />

Additional Examples of the Bivariate Platform<br />

Figure 4.18 Example of a Mesh Plot<br />

Diagnostics Plots<br />

The Plot Residuals option creates residual plots <strong>and</strong> other plots to diagnose the model fit. The following<br />

plots are available:<br />

Residual by Predicted Plot<br />

is also created.<br />

is a plot of the residuals vs. the predicted values. A histogram of the residuals<br />

Actual by Predicted Plot<br />

is a plot of the actual values vs. the predicted values.<br />

Residual by Row Plot<br />

is a plot of the residual values vs. the row number.<br />

Residual Normal Quantile Plot<br />

is a Normal quantile plot of the residuals.<br />

Additional Examples of the Bivariate Platform<br />

This section contains additional examples using the fitting comm<strong>and</strong>s in the Bivariate platform.<br />

Example of the Fit Special Comm<strong>and</strong><br />

To transform Y as log <strong>and</strong> X as square root, proceed as follows:<br />

1. Open the SAT.jmp sample data table.<br />

2. Select Analyze > Fit Y by X.<br />

3. Select 2004 Verbal <strong>and</strong> click Y, Response.<br />

4. Select % Taking (2004) <strong>and</strong> click X, Factor.<br />

5. Click OK.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!