Given data
SUMMARY OUTPUT |
||||||
Regression Statistics |
||||||
Multiple R |
0.996725 |
|||||
R Square |
0.993461 |
|||||
Adjusted R Square |
0.986921 |
|||||
Standard Error |
1.418909 |
|||||
Observations |
5 |
|||||
ANOVA |
||||||
df |
SS |
MS |
F |
Significance F |
||
Regression |
2 |
611.7252 |
305.8626 |
151.9208 |
0.006539335 |
|
Residual |
2 |
4.026607 |
2.013304 |
|||
Total |
4 |
615.7518 |
||||
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
|
Intercept |
1.148089 |
5.292775 |
0.216916 |
0.84839 |
-21.62488374 |
23.92106131 |
Number |
-0.02825 |
0.035546 |
-0.79484 |
0.510047 |
-0.18119561 |
0.124688974 |
SD |
730.1972 |
104.0586 |
7.017175 |
0.01971 |
282.4692941 |
1177.92503 |
f)
Under this new model 95% confidence interval of the slopes are
slope of number=[-0.811,0.1246]
slope of SD =[282.4692,1177.92503]
3. Nineteenth century economist W. Stanley Jevons was concerned about the loss of value in coins...