Confidence Intervals for Multivariate Regression Coefficients

Overview

We now explore the confidence interval of multivariate regression coefficients. We also show how to calculate them in Excel. Note that these intevals don’t take into account the multivariate nature of the regression. To gain more insight into this subject, see Multivariate Regression Hypothesis Testing.

Simultaneous confidence intervals

Based on the normality assumption

Normality of errors

a simultaneous 1-alpha confidence interval for the pth column of the multivariate regression coefficient matrix βp is

Simultaneous confidence interval

where

F-critical

Standard error

MSRes = SSRes/dfRes          dfRes = n – k – 1

SS_Res

Individual confidence intervals

Usually, however, we use the individual confidence intervals of the βjp instead of the simultaneous confidence intervals. These are defined as in the univariate case by

Confidence interval

where

t-crit

Example

Example 1: Find the 95% confidence intervals for the multivariate regression coefficients based on the data in Figure 1.

Data table

Figure 1 – Amitriptyline Data

This data is taken from Johnson and Wichern (2007). The first five columns contain data for the 5 independent variables and the last two contain data for the 2 dependent variables.

Figure 2 displays the results. These results are the same as for two separate multiple regression models, one for each dependent variable.

Multivariate coefficient confidence intervals

Figure 2 – Confidence intervals for regression coefficients

Here, range I2:O8 contains the array formula =RegCoeffCI(A1:E18,F1:F18,TRUE) and range I10:O16 contains the formula =RegCoeffCI(A1:E18,G1:G18,TRUE).

Examples Workbook

Click here to download the Excel workbook with the examples described on this webpage.

References

Johnson, R. A., Wichern, D. W. (2007) Applied multivariate statistical analysis. 6th Ed. Pearson
https://mathematics.foi.hr/Applied%20Multivariate%20Statistical%20Analysis%20by%20Johnson%20and%20Wichern.pdf

Helwig, N. E. (2017) Multivariate linear regression
http://users.stat.umn.edu/~helwig/notes/mvlr-Notes.pdf

Ford, C. (2023) Getting started with multivariate multiple regression
https://library.virginia.edu/data/articles/getting-started-with-multivariate-multiple-regression#:~:text=Multivariate%20Multiple%20Regression%20is%20a,parent%20income%2C%20and%20so%20forth.

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