df |
SS |
MS |
F |
|
Regression |
A |
8,693.11 |
4,346.56 |
375.16 |
Residual |
22 |
254.89 |
C |
|
Total |
24 |
B |
||
Coefficients |
Standard Error |
t-stat |
p-value |
|
Intercept |
257.74 |
22.82 |
11.29 |
1.27E-10 |
x1 |
-2.97 |
0.47 |
-6.31 |
2.37E-06 |
x1 |
0.23 |
0.24 |
0.96 |
0.3454 |
a. What is the sample regression equation?
b. Interpret the slope coefficient for
x1.
c. Find the predicted value for y if
x1 equals 25 and x2 equals
50.
d. Fill in the missing values in the ANOVA table.
e. Calculate the standard error of the estimate.
f. Calculate R2.
Solution:
a. The simple regression equation is:
b. The slope coefficient for x1 is -2.97, it means for an additional one-unit increase in x1, the dependent variable is expected to be decreased by 2.97 units by keeping x2 constant.
c. The predicted value for y if x1 = 25 and x2 = 50 is:
d. Fill in the missing values in the ANOVA table.
e. Calculate the standard error of the estimate.
Answer: The standard error of the estimate is:
f. Calculate R2.
Answer: The value of R2 is:
Get Answers For Free
Most questions answered within 1 hours.