be confident in this estimate.
b. The July estimate is 100 degrees, and since the R2 says that variation in the January
temperature explains 64% of the variation in the July temperature, we would be
confident in this estimate.
c. Since the F-statistic has only a 3% chance of being so large if the January
temperature did not affect the July temperature and the R2 is so high, there is a serial
correlation problem that invalidates any inferences we might draw from the regression.
d. The July estimate is 100 degrees, and since the RMSE equals 20, normal statistical
confidence intervals would allow for most temperatures from 60 to 140 degrees.
Although the point estimate of 100 degrees is our best estimate, we must accept that the
actual temperature might be quite different; we would not have confidence in this
estimate.
e. Since the F-statistic has only a 3% chance of being so large if the January
temperature did not affect the July temperature and the R2 is so high, there is a
multicollinearity problem that invalidates any inferences we might draw from the
regression.
In the following figure, there will be an excess demand at any price:
a. below Pa.