Q 65

Refer to Exhibit 13-6. The estimated regression equation is
A)y = _{0} + _{1}x_{1} + _{2}x_{2} +
B)E(y) = _{0} + _{1}x_{1} + _{2}x_{2}
C)= 12.924 - 3.682 x_{1} + 45.216 x_{2}
D)= 4.425 + 2.63 x_{1} + 12.56 x_{2}

Q 66

Refer to Exhibit 13-6. The interpretation of the coefficient of x_{1} is that
A)a one unit change in x_{1} will lead to a 3.682 unit decrease in y
B)a one unit increase in x_{1} will lead to a 3.682 unit decrease in y when all other variables are held constant
C)a one unit increase in x_{1} will lead to a 3.682 unit decrease in x_{2} when all other variables are held constant
D)It is impossible to interpret the coefficient.

Q 67

Refer to Exhibit 13-6. We want to test whether the parameter _{1} is significant. The test statistic equals
A)-1.4
B)1.4
C)3.6
D)5