The data set in DS 12.2.6 concerns the relationship between the temperature and resistance of vacuum transducer
Question:
(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.)
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Related Book For
Probability And Statistics For Engineers And Scientists
ISBN: 9780495107576
3rd Edition
Authors: Anthony Hayter
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