1. Using a data set with 4 predictor variable data set, an analyst decided to use regression as model to fit the data and explain the response variable. Using all the data he determined the following regression Ŷ = bo + b₁X₁ + b₂X2 + b3X3 + b4X4 +b5X5 He then determined a scatter plot matrix and the scatter between X5 and Y resulted in the scatter plot below. 100 400 I 100 1.1. Do you think the regression line is a good fit? Why? 1.2. What remedy would you propose? 1.3. Give the new regression that will be used.
1. Using a data set with 4 predictor variable data set, an analyst decided to use regression as model to fit the data and explain the response variable. Using all the data he determined the following regression Ŷ = bo + b₁X₁ + b₂X2 + b3X3 + b4X4 +b5X5 He then determined a scatter plot matrix and the scatter between X5 and Y resulted in the scatter plot below. 100 400 I 100 1.1. Do you think the regression line is a good fit? Why? 1.2. What remedy would you propose? 1.3. Give the new regression that will be used.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question

Transcribed Image Text:1. Using a data set with 4 predictor variable data set, an analyst decided to use regression
as model to fit the data and explain the response variable. Using all the data he determined
the following regression
Ŷ bo + b₁X₁ + b₂X₂ + b3X3 + b4X4 + b5X5
He then determined a scatter plot matrix and the scatter between X5 and Y resulted in the
scatter plot below.
7
100
1.1. Do you think the regression line is a good fit? Why?
1.2. What remedy would you propose?
1.3. Give the new regression that will be used.
1.4. If the following observations of X5 were taken, show which values will now
the regression?
1
8.25
2
8.50
3
11.50
4
10.25
used in
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