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Basic Analysis and Graphing - SAS

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Chapter 4 Performing Bivariate <strong>Analysis</strong> 111<br />

Density Ellipse<br />

The following table describes the Orthogonal Regression report.<br />

Table 4.12 Description of the Orthogonal Regression Report<br />

Variable<br />

Mean<br />

Std Dev<br />

Variance Ratio<br />

Correlation<br />

Intercept<br />

Slope<br />

LowerCL<br />

UpperCL<br />

Alpha<br />

Gives the names of the variables used to fit the line.<br />

Gives the mean of each variable.<br />

Gives the st<strong>and</strong>ard deviation of each variable.<br />

Gives the variance ratio used to fit the line.<br />

Gives the correlation between the two variables.<br />

Gives the intercept of the fitted line.<br />

Gives the slope of the fitted line.<br />

Gives the lower confidence limit for the slope.<br />

Gives the upper confidence limit for the slope.<br />

Enter the alpha level used in computing the confidence interval.<br />

Related Information<br />

• “Fitting Menus” on page 115<br />

• “Statistical Details for Fit Orthogonal” on page 124<br />

• “Example Using the Fit Orthogonal Comm<strong>and</strong>” on page 120<br />

Density Ellipse<br />

Using the Density Ellipse option, you can draw an ellipse (or ellipses) that contains the specified mass of<br />

points. The number of points is determined by the probability that you select from the Density Ellipse<br />

menu).

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