\multicolumn2|c[Regression Statistics Multiple R R Square Adjusted R Square 0.3744 0.1402 0.0802 Standard Error 5.5 Observations 47 ΑNOVA df SS MS F Significance F Regression 3 212 0.0869490 Residual 43 1300 Total 46 1512 Coefficients Standard Error t Stat | P-value Intercept 7.7 2.4 3.21 0.0025 xl -3.4 3.1 -1.1 0.2775 x2 8.1 3.2 2.53 0.0152 x3 6.5 2 3.25 0.0022 Suppose that the hypothesis test below is carried out: Ho : B1 = B2 = B3 = 0 H : At least one nonzero Find the test statistic and the corresponding p-value.

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Author:Amos Gilat
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\multicolumn2|c|Regression Statistics
Multiple R
0.3744
R Square
0.1402
Adjusted R Square
0.0802
Standard Error
5.5
Observations
47
ΑNOVA
df
SS
MS
F Significance F
Regression
3
212
0.0869490
Residual
43
1300
Total
46
1512
Coefficients Standard Error t Stat P-value
Intercept
7.7
2.4
3.21
0.0025
xl
-3.4
3.1
-1.1
0.2775
x2
8.1
3.2
2.53
0.0152
x3
6.5
3.25
0.0022
Suppose that the hypothesis test below is carried out:
Ho : B1 = B2 = B3 = 0
H :
At least one nonzero
Find the test statistic and the corresponding p-value.
Test Statistic =
p-Value =
Transcribed Image Text:\multicolumn2|c|Regression Statistics Multiple R 0.3744 R Square 0.1402 Adjusted R Square 0.0802 Standard Error 5.5 Observations 47 ΑNOVA df SS MS F Significance F Regression 3 212 0.0869490 Residual 43 1300 Total 46 1512 Coefficients Standard Error t Stat P-value Intercept 7.7 2.4 3.21 0.0025 xl -3.4 3.1 -1.1 0.2775 x2 8.1 3.2 2.53 0.0152 x3 6.5 3.25 0.0022 Suppose that the hypothesis test below is carried out: Ho : B1 = B2 = B3 = 0 H : At least one nonzero Find the test statistic and the corresponding p-value. Test Statistic = p-Value =
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