Solvent cement is used to join PVC joints. Researchers are interested in predicting the amount of time is needed for the joint to set (measured in hours) as it is related to temperature measured in degrees F for 4 to 8-inch diameter pieces. A random sample of PVC joints was taken and a linear regression model was found. Use the following output and the fact that R2 = 0.965 to answer the following questions. 4. Find the Correlation and interpret in the words of the problem. 5. Find the residual for a temperature of 60 F, if the time to set was 5.6 hours. 6. Find the residual for a temperature of 50 F, if the time to set was 5.4 hours.
Solvent cement is used to join PVC joints. Researchers are interested in predicting the amount of time is needed for the joint to set (measured in hours) as it is related to temperature measured in degrees F for 4 to 8-inch diameter pieces. A random sample of PVC joints was taken and a linear regression model was found. Use the following output and the fact that R2 = 0.965 to answer the following questions. 4. Find the Correlation and interpret in the words of the problem. 5. Find the residual for a temperature of 60 F, if the time to set was 5.6 hours. 6. Find the residual for a temperature of 50 F, if the time to set was 5.4 hours.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Solvent cement is used to join PVC joints. Researchers are interested in predicting the amount of time is needed for the joint to set (measured in hours) as it is related to temperature measured in degrees F for 4 to 8-inch diameter pieces. A random sample of PVC joints was taken and a linear regression model was found. Use the following output and the fact that R2 = 0.965 to answer the following questions.
4. Find the
5. Find the residual for a temperature of 60 F, if the time to set was 5.6 hours.
6. Find the residual for a temperature of 50 F, if the time to set was 5.4 hours.
Transcribed Image Text:Standard
Lower
Upper
Coefficients
Error
t Stat
P-value
95%
95%
Intercept
8.693
0.169
51.566
0.000
8.339
9.048
Temperature
Table 1: Regression Output
-0.061
0.003
-22.440
0.000
-0.067
-0.055
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