Calculate the test statistic: Fstat =
Identify the critical value: Fa =
State the conclusion for X1:
The variable X1 makes/does not make a significant contribution to the regression model because the test statistic is less than/greater than the critical value
Write the hypotheses for the contribution of variable X2.
H0: The response variable/Variable X1/Variable X2 does not significantly improve the model after variable X2/the response variable/variable X1 has been included.
H1: The response variable/Variable X1/Variable X2 significantly improves the model after variable X2/the response variable/variable X1 has been included
Calculate the test statistic: Fstat =
Identify the critical value: Fa =
tate the conclusion for X2:
The variable X2 makes/does not make a significant contribution to the regression model because the test statistic is less than/greater than the critical value
B. Compute the coefficients of partial? determination,r squared Y1.2 and r squaredY2.1?,and interpret their meaning.
The response variable/Variable X1/Variable X2 explains approximately r squared Y1.2 = ____ of the variation in The response variable/Variable X1/Variable X1 when the response variable/Variable X1/Variable X2 is held constant.
The response variable/Variable X1/Variable X2 explains approximately r squared Y2.1 = ____ of the variation in The response variable/Variable X1/Variable X1 when the response variable/Variable X1/Variable X2 is held constant.