y | t | Q1 | Q2 | Q3 |
71 | 1 | 1 | 0 | 0 |
49 | 2 | 0 | 1 | 0 |
54 | 3 | 0 | 0 | 1 |
73 | 4 | 0 | 0 | 0 |
68 | 5 | 1 | 0 | 0 |
41 | 6 | 0 | 1 | 0 |
56 | 7 | 0 | 0 | 1 |
76 | 8 | 0 | 0 | 0 |
62 | 9 | 1 | 0 | 0 |
51 | 10 | 0 | 1 | 0 |
49 | 11 | 0 | 0 | 1 |
67 | 12 | 0 | 0 | 0 |
a)
option iii) is correct
b)
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.938765238 | ||||
R Square | 0.881280172 | ||||
Adjusted R Square | 0.836760236 | ||||
Standard Error | 4.55521679 | ||||
Observations | 12 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 3 | 1232.25 | 410.75 | 19.7952 | 0.0005 |
Residual | 8 | 166 | 20.75 | ||
Total | 11 | 1398.25 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 72 | 2.6300 | 27.3769 | 0.0000 | 65.9353 |
Q1 | -5 | 3.7193 | -1.3443 | 0.2157 | -13.5768 |
Q2 | -25 | 3.7193 | -6.7217 | 0.0001 | -33.5768 |
Q3 | -19 | 3.7193 | -5.1085 | 0.0009 | -27.5768 |
y^ = 72 - 5 Q2 -25 Q2 - 19 Q3
c)
Year | Quarter | Ft |
4 | 1 | 67.000 |
4 | 2 | 47.000 |
4 | 3 | 53.000 |
4 | 4 | 72.000 |
Please rate if answers are correct
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