. 1. The formula for multiple regression standard error of the estimate is identical to that of the SLR standard error of the estimate, except that the denominator in the multiple regression standard error of the estimate contains an additional numeric, k, that counts the number of explanatory variables in the multiple regression equation. . 2. In multiple regression, as in simple linear regression, we use ANOVA to test individual partial regression coefficients for their significance in explaining the data. . 3. Multicollinearity is a condition where two or more of the independent variables in the data are correlated. One of the ways that this can show up in data analysis is in a correlation matrix