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Selecting this page type creates a page that performs a previously defined or new regression analysis and classifies each statement as an opportunity (positive impact of the dependent variable, for example overall satisfaction) or threat (negative impact on the dependent variable). These statements are then placed into a quadrant table representing the greatest areas of threats and opportunities by category.
- Type in a logical name for the page.
- Select the table style to be used.
- Select the dependent variable.
- Select the independent variables.
- Select a filter if required.
- Minimum number of Cases - specifies a minimum number of cases (data rows) required to run the multivariate calculation. The default value is 0, imposing no lower limit. If the number of available cases in the calculation is less than the specified limit, an error message will be displayed.
- Case selection - specifies how calculations are to be handled if the number of available cases (data rows) exceeds the system limit for maximum number of cases allowed in multivariate calculations. The limit is 10.000 data rows.
- Default - the last 10.000 of the available data rows will be used. This corresponds to the latest collected data.
- Random - a random subset containing 10.000 of the available data rows will be used.
- First - the first 10.000 of the available data rows will be used. This corresponds to the earliest collected data.
- Confidence Limit - if enabled, the value in this field is used to perform a confidence test of the linear regression result. If the regression result has a confidence level less than the specified limit, a warning message will be displayed in the page.
- Click Create Page, or Cancel to close the setup page without creating.
The styles listed in the drop-down are those available in the Styles > Aggregated Table folder in the Layout and Styles toolbox.
This field will contain the variable to be analyzed by linear regression analysis. The variable will as a result of the analysis be expressed as a linear function of the independent variables. The field can contain only one variable, and the variable must be numeric. The supported question types are: Numeric, Numeric List answers, Single with numeric codes/scale and Grid elements with numeric scale. Drag and drop a question from the Data Source toolbox to populate the field.
This field will contain the variables that will be used to explain the dependent variable, as a linear function. The field can contain one or more variables, and the variables must all be numeric. The supported question types are: Numeric, Numeric List answers, Single with numeric codes/scale and Grid elements with numeric scale. Drag and drop one or more questions from the Data Source toolbox to populate the field.
This field may contain a filter to restrict the underlying dataset the linear regression analysis is performed on. The field can contain only filters of type Filter Expression. Drag and drop a filter expression to populate the field. The filter expression can be reviewed or edited by clicking the "..." button.
Note: Linear Regression does not support parameters, so any parameters used in the filter expression will be ignored and should instead be written as explicit expressions.