Here we have data :
x | y |
5 | 9 |
10 | 17 |
20 | 30 |
40 | 35 |
Here we calculate by excel:
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.92 | |||||
R Square | 0.85 | |||||
Adjusted R Square | 0.77 | |||||
Standard Error | 5.69 | |||||
Observations | 4.00 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1.00 | 360.11 | 360.11 | 11.14 | 0.08 | |
Residual (error) | 2.00 | 64.64 | 32.32 | |||
Total | 3.00 | 424.75 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 9.48 | 4.89 | 1.94 | 0.19 | -11.55 | 30.51 |
X Variable 1 | 0.71 | 0.21 | 3.34 | 0.08 | -0.20 | 1.62 |
Correct option "B"
Reject the null hypothesis.
(Here we have sufficient evidence to reject the null hypothesis, becouse Fobserved value (11.14 ) is grater than Fcritical value (0.08))
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