In multiple regression analysis, how is the degree of association between a set of independent variables and a dependent variable measured? a) confidence intervals. b) autocorrelation. c) coefficient of multiple determination. d) standard error of estimate.

C) Coefficient of multiple determination.

Step-by-step explanation:

The coefficient of determination (R²) R-squared is a statistical measure  used in judging the closeness of fit in a linear regression model.

it is  the measures the proportion of variation in the dependent variable that can be predicted from the set of independent variables in a multiple regression equation.

It gives valid results only when the regression equation fits the data well,when R² is close to 1 and vice versa.

where is the rest of the

step-by-step explanation:

(x+3)(x+7)

step-by-step explanation: