Why might using this regression for a price of 90 be doubted or criticized?
a. Extrapolation from existing prices is somewhat suspect b. $90 is outside of the known range of prices.c. The error is likely to be larger than the standard error of estimate.d. All of the above are true.
Q | P |
46.998 | 76.5 |
37.223 | 83.83 |
52.443 | 70.52 |
62.765 | 71.78 |
61.984 | 71.95 |
67.331 | 63.51 |
28.164 | 86.05 |
47.658 | 75.33 |
60.95 | 69.18 |
39.133 | 78.16 |
43.098 | 81.47 |
33.096 | 85.23 |
31.531 | 86.01 |
40.224 | 81.54 |
42.265 | 80.12 |
28.821 | 84.35 |
44.321 | 74.99 |
45.96 | 77.14 |
51.349 | 75.73 |
46.345 | 75.41 |
46.73 | 72.5 |
46.298 | 75.13 |
63.426 | 65.18 |
49.147 | 79.24 |
48.138 | 74 |
44.868 | 80.65 |
69.722 | 65.68 |
58.657 | 75.26 |
73.757 | 61.34 |
43.451 | 78.47 |
66.615 | 64.95 |
33.876 | 86.53 |
55.389 | 71.9 |
59.022 | 70.27 |
69.189 | 65.44 |
49.155 | 73.12 |
44.762 | 78.64 |
56.751 | 76.27 |
46.187 | 78.21 |
57.576 | 68.65 |
35.558 | 79.64 |
41.528 | 79.97 |
34.784 | 83.48 |
46.371 | 75.7 |
49.675 | 76.92 |
50.281 | 73 |
46.773 | 76.86 |
71.945 | 65.22 |
32.575 | 84.91 |
42.635 | 78.31 |
24.224 | 89.92 |
64.477 | 68.33 |
37.202 | 84.74 |
43.464 | 77.69 |
57.577 | 68.53 |
54.667 | 71.83 |
58.746 | 73.26 |
55.957 | 72.52 |
36.282 | 83.73 |
38.843 | 79.24 |
56.94 | 68.89 |
53.226 | 72.79 |
40.602 | 76.42 |
47.591 | 80.14 |
51.315 | 73.26 |
55.578 | 75.34 |
51.387 | 70.87 |
40.89 | 79.81 |
In the given problem, we find that using regression analysis, the value of Q, for Price(P) = 90 is 26.8098.
We might suspect this value as a) Extrapolation from existing prices is somewhat suspicious.
Justification: Extrapolations are dubious since they require the additional and questionable assumption that the relation between the explanatory and the response variable doesn't change even at the extreme values of the explanatory variable. Here, since 90 lies beyond the range of prices, hence, extrapolation will lead to a dubious answer, which cannot be fully relied on.
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