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To test the null hypothesis that H 0 : b1=b2=b3=b4=b5=0 Dependent Variable: SHIPMENTS Method: Least Squares Sample: 1 455 Included observations: 455 Variable Coefficient Std.
To test the null hypothesis that
H0: b1=b2=b3=b4=b5=0
Dependent Variable: SHIPMENTS | ||||
Method: Least Squares | ||||
Sample: 1 455 | ||||
Included observations: 455 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
INVENTORY | 0.365953 | 0.068541 | 5.339149 | 0 |
MANAGERS | 96.14189 | 6.157146 | 15.61468 | 0 |
MATERIALS | 1.125039 | 0.01485 | 75.75942 | 0 |
NEWCAP | 3.678462 | 0.270451 | 13.6012 | 0 |
SIC | 72.69421 | 35.42677 | 2.051957 | 0.0408 |
WORKERS | 17.19833 | 3.372032 | 5.100288 | 0 |
R-squared | 0.982827 | Mean dependent var | 7333968 | |
Adjusted R-squared | 0.982636 | S.D. dependent var | 14441144 | |
S.E. of regression | 1902934 | Akaike info criterion | 31.76879 | |
Sum squared resid | 1.63E+15 | Schwarz criterion | 31.82312 | |
Log likelihood | -7221.4 | Hannan-Quinn criter. | 31.7902 | |
Durbin-Watson stat | 1.969462 |
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A. We can use F test with 5, 449 degree of freedom.
B. We can use F test with 449, 5 degree of freedom.
C. We can use t test with 449 degree of freedom.
D. We can use the adjusted R squared.
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