Consider the following responses and the associated values of the explanatory vari- ables: Response YX₁ X₂ Xs 1 5 -1 0 1 -1 -3 1 0 -4 0 1 -3 2 0 -1 3 5 1 4 1 -3 0 (X'X)-¹ to do 0 1 2 3 3 -2 Based on the conventional notations for the multiple regression model we have X'Y = [10, 14, 10,-3]', and 000 0 0 0 0 0 0 0 00 (g) Find a 95% prediction interval for a single response Y when z₁ = 1, ₂ = −3, 73 = -1, that is, a[1, 1, -3, -1]'. (h) State the differences between a 95% confidence interval and a 95% prediction interval.
Consider the following responses and the associated values of the explanatory vari- ables: Response YX₁ X₂ Xs 1 5 -1 0 1 -1 -3 1 0 -4 0 1 -3 2 0 -1 3 5 1 4 1 -3 0 (X'X)-¹ to do 0 1 2 3 3 -2 Based on the conventional notations for the multiple regression model we have X'Y = [10, 14, 10,-3]', and 000 0 0 0 0 0 0 0 00 (g) Find a 95% prediction interval for a single response Y when z₁ = 1, ₂ = −3, 73 = -1, that is, a[1, 1, -3, -1]'. (h) State the differences between a 95% confidence interval and a 95% prediction interval.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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VIEWStep 2: Determine the 95% confidence interval for the mean response ?? when ?1 =1 , ?2=− 3 and x3=-1.
VIEWStep 3: Determine the 95% prediction interval for single response Y when ?1 =1 , ?2=− 3 and x3=-1.
VIEWStep 4: State the differences between a 95% confidence interval and a 95% prediction interval.
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