Model Fitting: Linear Regression |
The salary variable ranges from 67.5 to 2460 (measured in thousands of dollars). Since the variation of salaries is much greater for the higher salaries, it is appropriate to apply a logarithmic transformation to the salaries before fitting the model. You can use the Variable Transformation Wizard to transform the salary variable, as described in Chapter 32, "Variable Transformations."
![]() | Select Analysis ![]() |
The Variable Transformation Wizard in Figure 21.1 appears.
![]() | Select the log10(Y+a) transformation from the Transformations list. |
![]() |
Figure 21.1: Selecting a Log10 Transformation
![]() | Click Next. |
The wizard displays the page shown in Figure 21.2.
![]() |
Figure 21.2: Selecting a Variable and Parameters
![]() | Scroll to the end of the variable list. Select the salary variable, and click Set Y. |
The parameter is an offset that is useful if your variable
contains nonpositive values. For these data, you can accept the
default value of .
![]() | Click Finish. |
Because there are missing values for the salary variable, a warning
message appears (Figure 21.3) informing you that
the transformed values for these observations are set to missing
values.
![]() |
Figure 21.3: A Warning Message
![]() | Click OK to dismiss the warning message. |
Stat Studio adds the new variable, Log10_salary, as the last variable in the data set.
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