Parallel Regression Store Options

This dialog lets you save results from a Parallel regression. These results are saved when an analysis is run and must be specified before running an analysis.

1. After selecting the appropriate boxes, type names for the data structures into the corresponding In: fields. 

Save

The table below indicates the type of structures formed for each item.

IDs	Text	The list of Unit identifiers to index the results.
Residuals	Matrix	The residuals from the fitted regression model will be saved in a matrix of this name. The units in the model will be in the columns of the matrix and there will be one row for each probe.
Fitted values	Matrix	The fitted values for the fitted regression model will be saved in a matrix of this name. The units in the model will be in the columns of the matrix and there will be one row for each probe.
Estimates	Matrix	The estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
Standard errors of estimates	Matrix	The standard errors of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
T-values of estimates	Matrix	The T-values (i.e. the estimate divided by its standard error) of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
T-probabilities of estimates	Matrix	The probability of the T-values of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
Degrees of freedom	Pointer	The degrees of freedom for each treatment will be saved in unnamed variates pointed to by this pointer. These are stored in unnamed variates for each treatment term which are pointed to by this pointer.
Sums of squares	Pointer	The sums of squares for each treatment will be saved in unnamed variates pointed to by this pointer. These are stored in unnamed variates for each treatment term which are pointed to by this pointer.
Mean squares	Pointer	The mean of squares (i.e. the sums of squares divided by its degrees of freedom) for each model term will be saved in unnamed variates pointed to by this pointer.
Residual DF	Variate	The residual degrees of freedom of the regression model fitted.
Residual sum of squares	Variate	The residual sums of squares of the regression model fitted.
Residual mean squares	Variate	The residual mean squares (i.e. the sums of squares divided by its degrees of freedom) of the regression model fitted.
Total DF	Variate	The total degrees of freedom will be saved in a variate of this name.
Total sum of squares	Variate	The total sum of squares will be saved in a variate of this name.
Total mean squares	Variate	The total mean of squares (i.e. the total sum of squares divided by the total degrees of freedom) will be saved in a variate of this name.
Variance ratio	Pointer	The variance or F ratio (i.e. the model term mean squares divided by the residual mean squares) for each model term will be saved in unnamed variates pointed to by this pointer.
Probability of VR	Pointer	The probability of a variance ratio (i.e. F statistic) being more extreme than the observed the F ratio for each model term will be saved in unnamed variates pointed to by this pointer.

Display in spreadsheet

Select this to display the results in a new spreadsheet window.

Action Icons

	Clear	Clear all fields and list boxes.
	Help	Open the Help topic for this dialog.

See also

• Parallel regression menu
• Parallel regression options
• MAREGRESSION procedure