The Statistics function enables you to describe
the distribution of a data set. When
you select the **Statistics** toolbar button in the Data Table Window, the *Statistics*
window appears. This
window begins on the **Data & Analyses
Selection** tab. After
the data columns are selected and you specify that a Regression analysis
should be performed on the first tab, then click on the **Regression**
tab:

Type a name for the analysis that will appear
as a table heading in the Data Table Window in the *Tab
Name* field.

The Display group box contains the two available choices for the correlation analysis:

**Linear
Regression**

Normalized Linear Regression

If the user chooses the normalized linear regression, the parameter values are normalized to lie in a fixed range between 0 and 1. This process is performed by subtracting the minimum from each value and then dividing the result by the range (maximum minus minimum). This approach allows analysts to quickly interpret how strongly or weakly a single independent variable affects the dependent variable.

The Dependent Variables group box shows
the data columns that should be analyzed for regressions. Click
the **Select** button in this group
box to choose the columns for analysis, and the **Select
All** button to choose all of the currently displayed (not hidden)
columns. Note
that the Regression function requires at least two dependent variables
to be chosen to operate.

The Independent Variables group box shows
the data columns that should be used for the analysis. Click
the **Select** button in this group
box to choose the columns, and the **Select
All** button to choose all of the currently displayed (not hidden)
columns. Click
the **Same as Dependent Variables**
button to copy the list chosen for the dependent variables to the independent
variables list.

The *Show
1-1 correlation data for selection* check box is not yet functional.

Click **OK**
to close the *Statistics* window
and add a new tab to the Data Table Window. The
new *Analysis Engine Table Application*
table appears
similar to others:

Each row lists a pairing of a dependent and an independent variable in the first two columns. The next three columns show the correlation coefficient, the slope and intercept giving the linear regression between the pair. The Equation appears in the next column, followed by the following columns:

Mean absolute error

Mean prior absolute error

Relative absolute error

Root mean square error

Root mean prior squared error

Root relative squared error

Click **Cancel**
to close the *Statistics* window
without making any changes.