Determine whether the intercept coefficient (1664.46) is statistically significant at the 5 percent level. SUMMARY OUTPUT Regression Statistics Multiple R 0.971 R-Square A Adjusted R-Square B Standard Error 30.462 Observations 51 ANOVA df SS MS F Significance F Regression C 747851.57 373925.79 402.98 9.89E-31 Residual 48 D 927.91 Total 50 792391.11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1664.46 62.13 26.79 1.60E-30 1539.66 1789.51 Price of Roses −6.68 F −1.41 1.64E-01 −16.16 2.81 Disposable Income (M) 9.73 0.34 G 1.23E-31 9.04 10.42 Select the best answer Statistically significant since the P-value is less than 5 percent. B. Statistically significant since the t-statistic is greater than 2 in absolute value. C. Statistically insignificant since the P-value is less than 5 percent. D. Statistically insignificant since the t-statistic is less than 2 in absolute value.
Determine whether the intercept coefficient (1664.46) is statistically significant at the 5 percent level. SUMMARY OUTPUT Regression Statistics Multiple R 0.971 R-Square A Adjusted R-Square B Standard Error 30.462 Observations 51 ANOVA df SS MS F Significance F Regression C 747851.57 373925.79 402.98 9.89E-31 Residual 48 D 927.91 Total 50 792391.11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1664.46 62.13 26.79 1.60E-30 1539.66 1789.51 Price of Roses −6.68 F −1.41 1.64E-01 −16.16 2.81 Disposable Income (M) 9.73 0.34 G 1.23E-31 9.04 10.42 Select the best answer Statistically significant since the P-value is less than 5 percent. B. Statistically significant since the t-statistic is greater than 2 in absolute value. C. Statistically insignificant since the P-value is less than 5 percent. D. Statistically insignificant since the t-statistic is less than 2 in absolute value.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Determine whether the intercept coefficient (1664.46) is statistically significant at the 5 percent level.
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SUMMARY OUTPUT |
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Regression Statistics |
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Multiple R |
0.971 |
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R-Square |
A |
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Adjusted R-Square |
B |
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Standard Error |
30.462 |
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Observations |
51 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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Regression |
C |
747851.57 |
373925.79 |
402.98 |
9.89E-31 |
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Residual |
48 |
D |
927.91 |
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Total |
50 |
792391.11 |
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Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
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Intercept |
1664.46 |
62.13 |
26.79 |
1.60E-30 |
1539.66 |
1789.51 |
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Price of Roses |
−6.68 |
F |
−1.41 |
1.64E-01 |
−16.16 |
2.81 |
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Disposable Income (M) |
9.73 |
0.34 |
G |
1.23E-31 |
9.04 |
10.42 |
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Select the best answer
Statistically significant since the P-value is less than 5 percent.
B. Statistically significant since the t-statistic is greater than 2 in absolute value.
C. Statistically insignificant since the P-value is less than 5 percent.
D. Statistically insignificant since the t-statistic is less than 2 in absolute value.
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