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Basic Analysis > Bivariate Analysis > Bivariate Fit Reports > Fit Mean Report
Publication date: 05/05/2023

Fit Mean Report

Use the Fit Mean option in the Bivariate platform to fit the mean of the Y response variable. You can use the mean line as a reference to compare with other fits.

Figure 5.7 Example of Fit Mean 

Example of Fit Mean

In the Bivariate platform, the Fit Mean report contains a table of summary statistics.

Mean

Mean of the response variable. The predicted response when there are no specified effects in the model.

Std Dev [RMSE]

Standard deviation of the response variable. Square root of the mean square error, also called the root mean square error (RMSE).

Std Error

Standard deviation of the response mean. Calculated by dividing the RMSE by the square root of the number of values.

SSE

Error sum of squares for the simple mean model. Appears as the sum of squares for Error in the analysis of variance tables for each model fit.

For more information about the options in the Fit Mean menu, see Bivariate Fit Options.

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