The data set in DS 12.2.6 concerns the relationship between the temperature and resistance of vacuum transducer bobbins, which are used in the automobile industry.
(a) Fit a linear regression model with resistance as the dependent variable and temperature as the explanatory variable.
(b) What is the predicted resistance when the temperature is 69 F?
(c) How does the predicted resistance change as the temperature increases by 5 degrees?
(d) What is the estimate of the error variance.?
(This problem is continued in Problems 12.3.8, 12.4.8, 12.5.7, 12.6.10, 12.7.6, and 12.9.8.)