Thermal endurance tests were performed to study the relationship between temperature and lifetime of poly- ester enameled wire ("Thermal Endurance of Polyester Enameled Wires Using Twisted Wire Specimens," IEEE Trans. Insulation, 1965: 38-44), resulting in the following data. Temp 200 200 200 200 200 200 Lifetime 5933 5404 4947 4963 3358 3878 Temp 220 220 220 220 220 220 Lifetime 1561 1494 747 768 609 777 Temp 240 240 240 240 240 240 Lifetime 258 299 144 180 209 184 a. Does a scatterplot of the data suggest a linear probabi- listic relationship between lifetime and temperature? b. What model is implied by a linear relationship between expected ln(lifetime) and 1/temperature? Does a scatterplot of the transformed data appear consistent with this relationship? Estimate the parameters of the model suggested in part (b). What lifetime would you predict for a tem- с. perature of 220? d. Because there are multiple observations at each x value, the method in Exercise 14 can be used to test the null hypothesis that states that the model sugges- ted in part (b) is correct. Carry out the test at level .01

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Thermal endurance tests were performed to study the
relationship between temperature and lifetime of poly-
ester enameled wire ("Thermal Endurance of
Polyester Enameled Wires Using Twisted Wire
Specimens," IEEE Trans. Insulation, 1965: 38-44),
resulting in the following data.
Temp
200
200
200
200
200
200
Lifetime
5933 5404
4947
4963
3358
3878
Temp
220
220
220
220
220
220
Lifetime
1561
1494
747
768
609
777
Temp
240
240
240
240
240
240
Lifetime
258
299
144
180
209
184
a. Does a scatterplot of the data suggest a linear probabi-
listic relationship between lifetime and temperature?
b. What model is implied by a linear relationship
between expected ln(lifetime) and 1/temperature?
Does a scatterplot of the transformed data appear
consistent with this relationship?
Estimate the parameters of the model suggested in
part (b). What lifetime would you predict for a tem-
с.
perature of 220?
d. Because there are multiple observations at each
x value, the method in Exercise 14 can be used to test
the null hypothesis that states that the model sugges-
ted in part (b) is correct. Carry out the test at level .01
Transcribed Image Text:Thermal endurance tests were performed to study the relationship between temperature and lifetime of poly- ester enameled wire ("Thermal Endurance of Polyester Enameled Wires Using Twisted Wire Specimens," IEEE Trans. Insulation, 1965: 38-44), resulting in the following data. Temp 200 200 200 200 200 200 Lifetime 5933 5404 4947 4963 3358 3878 Temp 220 220 220 220 220 220 Lifetime 1561 1494 747 768 609 777 Temp 240 240 240 240 240 240 Lifetime 258 299 144 180 209 184 a. Does a scatterplot of the data suggest a linear probabi- listic relationship between lifetime and temperature? b. What model is implied by a linear relationship between expected ln(lifetime) and 1/temperature? Does a scatterplot of the transformed data appear consistent with this relationship? Estimate the parameters of the model suggested in part (b). What lifetime would you predict for a tem- с. perature of 220? d. Because there are multiple observations at each x value, the method in Exercise 14 can be used to test the null hypothesis that states that the model sugges- ted in part (b) is correct. Carry out the test at level .01
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