In: Statistics and Probability
Age (yrs) |
Price |
1 |
$ 13,990 |
1 |
$ 13,495 |
3 |
$ 12,999 |
4 |
$ 9,500 |
4 |
$ 10,495 |
5 |
$ 8,995 |
5 |
$ 9,295 |
6 |
$ 6,999 |
7 |
$ 6,950 |
7 |
$ 7,850 |
8 |
$ 6,999 |
8 |
$ 5,995 |
10 |
$ 4,950 |
10 |
$ 4,495 |
13 |
$ 2,850 |
Part a)
Part b)
Regression output | confidence interval | ||||||
variables | coefficients | std. error | t (df=13) | p-value | 95% lower | 95% upper | std. coeff. |
Intercept | 14,263.9115 | 449.5861 | 31.727 | 1.06E-13 | 13,292.6397 | 15,235.1833 | 0.000 |
X | -957.6269 | 64.7127 | -14.798 | 1.63E-09 | -1,097.4301 | -817.8237 | -0.9720 |
Equation of regression line becomes Ŷ = 14263.9115 + -957.6269
X
part c)
We are 95% confident that the true value of slope will lies within the interval ( 13292.64 , 15235.2 ).
Part d)
Predicted values for: Y | ||||||
95% Confidence Interval | 95% Prediction Interval | |||||
X | Predicted | lower | upper | lower | upper | Leverage |
9 | 5,645.270 | 5,038.024 | 6,252.516 | 3,776.921 | 7,513.618 | 0.118 |