In: Statistics and Probability
X Y
0 12
2 13
3 14
6 16
5 15
3 14
4 13
1 12
1 15
2 15
Solution :
Regression Statistics | ||||||||
Multiple R | 0.631134 | |||||||
R Square | 0.39833 | |||||||
Adjusted R Square | 0.323121 | |||||||
Standard Error | 1.127399 | |||||||
Observations | 10 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 6.731776 | 6.731776 | 5.296324 | 0.050363 | |||
Residual | 8 | 10.16822 | 1.271028 | |||||
Total | 9 | 16.9 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 12.66355 | 0.644792 | 19.63974 | 4.7E-08 | 11.17666 | 14.15044 | 11.17666 | 14.15044 |
X Variable 1 | 0.457944 | 0.198987 | 2.301374 | 0.050363 | -0.00092 | 0.916809 | -0.00092 | 0.916809 |
a) and c)
b)
d)
y = 12.664 + 0.458 * x
when x = 4
y = 12.664 + 0.458 * 4
yhat = 14.496
e)
Coefficient of determination r^2 = 0.6311 * 0.6311
Coefficient of determination r^2 = 0.3983
Coefficient of non determination = 1- r^2 = 1 - 0.3983
Coefficient of non determination = 0.6017
39.83% is explained and 60.17% is unexplained from the linear relationship.
f)
the typical starting wage per hour = 12.664
the typical increase in wage for each additional year on the job = 0.458