1) Multiple regression analysis is applied when analyzing the relationship between __________.

An independent variable and several dependent variables

A dependent variable and several independent variables

Several dependent variables and several independent variables

Several regression equations and a single sample

2) in multiple regression, a dummy variable is significantly related to the dependent variable when ______________.

The global test of the regression equation is rejected

The test of the dummy variable's regression coefficient is rejected

The dummy variable is correlated with other independent variables

The dummy variable is coded as 2 or 3

3)

Question 3 Using the below data, what is the regression equation? Standard Error m pwalue Intercept -12.201 m -1.360 0.100 Number of Contacts 0.176 0.000 O Y = 2.195 - 12.201X O Y = -12.201 + 2.195X O Y = 12.201 + 2.195X O Y = 2.195 + 12.201X Question 4 Using the below data, what is the coefficient of determination? Coefficients Intercept -12.8094 Independent Variable 2.1794 ANOVA dy SS MS Regression 12323.56 12323.56 90.0481 Residual 1094.842 136.8552 Total 9 13418.4 0 0.9184 0 0.9583 O -0.9583 0 0.9004Question 8 A multiple regression analysis showed the following results of the individual independent variables. X4 is a qualitative variable (i.e. takes on the value 0 or 1). If X4 is equal to one, what is the variable's effect on the dependent variable? Standard Coefcients Error tstat . value Intercept 139.577 84.235 1.657 X. -0.135 5.698 -0.024 X2 3.734 1 .220 3.062 X3 2.448 26.524 0.376 -9.976 1.044 2.345 O The dependent variable will decrease by 9.976 units. 0 The dependent variable will increase by 9.976 units. 0 The dependent variable will not be affected because the coefcient on X4 cannot be said to be statistically different than zero. 0 The dependent variable will increase by 2*9.976 units