Basic Analysis and Graphing - SAS

96 Performing Bivariate Analysis Chapter 4
Fitting Commands and General Options
• a red triangle menu to the report window
• a specific report to the report window
Figure 4.6 Example of the Fit Mean Fitting Command
Fit Mean line
Fit Mean menu
Fit Mean report
Table 4.2 Descriptions of the Fitting Commands
Fit Mean
Fit Line
Fit Polynomial
Fit Special
Fit Spline
Fit Each Value
Adds a horizontal line to the scatterplot that
represents the mean of the Y response variable.
Adds straight line fits to your scatterplot using
least squares regression.
Fits polynomial curves of a certain degree using
least squares regression.
Transforms Y and X. Transformations include: log,
square root, square, reciprocal, and exponential.
You can also turn off center polynomials,
constrain the intercept and the slope, and fit
polynomial models.
Fits a smoothing spline that varies in smoothness
(or flexibility) according to the lambda (λ) value.
The λ value is a tuning parameter in the spline
formula.
Fits a value to each unique X value, which can be
compared to other fitted lines, showing the
concept of lack of fit.
See “Fit Mean” on page 98.
See “Fit Line and Fit
Polynomial” on page 99.
See “Fit Line and Fit
Polynomial” on page 99.
See “Fit Special” on
page 106.
See “Fit Spline” on page 107.
See “Fit Each Value” on
page 109.