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The following graphs show a least squares regression line plotted to different sets of data. Each of the linear models has a formula y = 0.500(x) + 3. For each model: • Describe how you would go about evaluating the appropriateness of the model, and the process you would go through to develop a valid predictive model. 14 14 14 12 12 12 10 10 10 8. 8. 6. 6. 4. 4 24 6 8 10 12 14 16 18 20 | 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20

The following graphs show a least squares regression line plotted to different sets of data. Each of the linear models has a formula y = 0.500(x) + 3. For each model: • Describe how you would go about evaluating the appropriateness of the model, and the process you would go through to develop a valid predictive model. 14 14 14 12 12 12 10 10 10 8. 8. 6. 6. 4. 4 24 6 8 10 12 14 16 18 20 | 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4PPS
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The following graphs show a least squares regression line plotted to different sets of data. Each of the linear models has a formula y = 0.500(x) + 3. For each model: • Describe how you would go about evaluating the appropriateness of the model, and the process you would go through to develop a valid predictive model. 14 14 14 12 12 12 10 10 10 8. 8. 6. 6. 4. 4 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20
Transcribed Image Text:The following graphs show a least squares regression line plotted to different sets of data. Each of the linear models has a formula y = 0.500(x) + 3. For each model: • Describe how you would go about evaluating the appropriateness of the model, and the process you would go through to develop a valid predictive model. 14 14 14 12 12 12 10 10 10 8. 8. 6. 6. 4. 4 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20
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