3 4 5 7 7 7 8 9. y 4 5 4 6 4 6 9 11 Does there appear to be a linear relationship between x and y? Explain. b. Develop the estimated regression equation relating x and y. Plot the standardized residuals versus y for the estimated regression equation oped in part (b). Do the model assumptions appear to be satisfied? Explain. d. а. с. Perform a logarithmic transformation on the dependent variable y. Develop ar mated regression equation using the transformed dependent variable. Do the r assumptions appear to be satisfied by using the transformed dependent vari Does a reciprocal transformation work better in this case? Explain.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 3TU
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3. Consider the following data for two variables, x and y.
3
4
5
7
7
7
8
9.
y
4
4
6 4
6 9
5
11
Does there appear to be a linear relationship between x and y? Explain.
b. Develop the estimated regression equation relating x and y.
Plot the standardized residuals versus ŷ for the estimated regression equation devel-
oped in part (b). Do the model assumptions appear to be satisfied? Explain.
d. Perform a logarithmic transformation on the dependent variable y. Develop an esti-
mated regression equation using the transformed dependent variable. Do the model
assumptions appear to be satisfied by using the transformed dependent variable?
Does a reciprocal transformation work better in this case? Explain.
а.
с.
Transcribed Image Text:3. Consider the following data for two variables, x and y. 3 4 5 7 7 7 8 9. y 4 4 6 4 6 9 5 11 Does there appear to be a linear relationship between x and y? Explain. b. Develop the estimated regression equation relating x and y. Plot the standardized residuals versus ŷ for the estimated regression equation devel- oped in part (b). Do the model assumptions appear to be satisfied? Explain. d. Perform a logarithmic transformation on the dependent variable y. Develop an esti- mated regression equation using the transformed dependent variable. Do the model assumptions appear to be satisfied by using the transformed dependent variable? Does a reciprocal transformation work better in this case? Explain. а. с.
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