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The Simple Linear Regression Model Provides a Very Good Fit y^=1.128+.82697X,Y2=.975, and s=5.24\hat { y } = - 1.128 + .82697 X , Y^ { 2 } = .975 , \text { and } s = 5.24

Question 95

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The simple linear regression model provides a very good fit to a data set on rainfall and runoff volume. The equation of the least squares line is y^=1.128+.82697X,Y2=.975, and s=5.24\hat { y } = - 1.128 + .82697 X , Y^ { 2 } = .975 , \text { and } s = 5.24
a. Use the fact that sy=1.44s _ { y } = 1.44
when rainfall volume is 40 m 33
to predict runoff in a way that conveys information about reliability and precision. Does the resulting interval suggest that precise information about the value of runoff for this future observation is available? Explain your reasoning.
b. Calculate a PI for runoff when rainfall is 50 using the same prediction level as in part (a). What can be said about the simultaneous prediction level for the two intervals you have calculated?

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a. blured image a 95% PI runoff is blured image No, the resultin...

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