If multicollinearity exists among the independent variables included in a multiple regression model, the:
A. standard errors of the regression coefficients for the correlated independent variables will increase
B. multiple coefficient of determination will assume a value close to zero
C. regression coefficients will be difficult to interpret
D. regression coefficients will be difficult to interpret and the standard errors of the regression coefficients for the correlated independent variables will increase

A multiple regression analysis involving 3 independent variables and 25 data points results in a value of 0.769 for the unadjusted multiple coefficient of determination. The adjusted multiple coefficient of determination is:
A. 0.736
B. 0.591
C. 0.385
D. 0.877