a. Write the regression equation based on the output. b. If X equals 50, Y equals 200, and Z equals 45, what value do you predict K will take? If X, Y, and Z are all equal to 0? At the 5 percent significance level which one of the three anti

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d. How much of the total variation is explained by this regression equation?
e. Is the overall regression equation statistically significant at the 1 percent level of significance?
Transcribed Image Text:d. How much of the total variation is explained by this regression equation? e. Is the overall regression equation statistically significant at the 1 percent level of significance?
1. A multiple regression model is estimated with Excel and produces the following output:
DEPENDENT VARIABLE: K
OBSERVATIONS: 23
P-VALUE ON F
0.00157
VARIABLE
INTERCEPT
R-SQUARE
0.5448
PARAMETER
ESTIMATE
-220.0
-11.340
0.3875
4.26
a. Write the regression equation based on the output.
F-RATIO
7.58
STANDARD
ERROR
68.25
3.670
0,0625
2.350
T-RATIO P-VALUE
-3.22
0.0045
-3.09
0.0060
6.20
1.81
0.0001
0.0857
b. If X equals 50, Y equals 200, and Z equals 45, what value do you predict K will take? If X, Y, and Z are
all equal to 0?
c. At the 5 percent significance level, which one of the three estimated coefficients of X, Y and Z is (are)
statistically significant?
Transcribed Image Text:1. A multiple regression model is estimated with Excel and produces the following output: DEPENDENT VARIABLE: K OBSERVATIONS: 23 P-VALUE ON F 0.00157 VARIABLE INTERCEPT R-SQUARE 0.5448 PARAMETER ESTIMATE -220.0 -11.340 0.3875 4.26 a. Write the regression equation based on the output. F-RATIO 7.58 STANDARD ERROR 68.25 3.670 0,0625 2.350 T-RATIO P-VALUE -3.22 0.0045 -3.09 0.0060 6.20 1.81 0.0001 0.0857 b. If X equals 50, Y equals 200, and Z equals 45, what value do you predict K will take? If X, Y, and Z are all equal to 0? c. At the 5 percent significance level, which one of the three estimated coefficients of X, Y and Z is (are) statistically significant?
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