Quadrant Chart

Selecting this page type creates a page that performs a previously defined or new regression analysis and plots each category on a chart representing its importance (size of Beta-coefficient) against the improvement potential (difference from a maximum satisfaction rating).

Note: The regression must be based on variables with a lower and an upper limit. Any variable without such limits will not be displayed in the chart.

1. Type in a logical name for the page.
2. Select the chart style to be used.

The styles listed in the drop-down are those available in the Styles > Chart folder in the Layout and Styles toolbox.

3. Select the dependent variable.

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.

4. Select the independent variables.

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.

5. Select a filter if required.

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.

• Minimum number of Cases - This field can be used to specify 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 - This setting specifies how to handle calculations 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.
• Increase - the value in this field is used to calculate the potential impact on the dependent variable, if an independent variable is increased by the specified percentage.
• 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.
6. Click Create Page, or Cancel to close the setup page without creating.