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Given are the 40-yard-dash times (in seconds) and long-jump distances (in inches) for a small class of 12 students. Also Use technology to create a residual plot. Sketch the given is the scatterplot created by this data: residual plot and comment about whether a linear model is appropriate. O The linear model relating the dash time to the long- jump distance is not appropriate because the correlation of the values in the residual plot is near 0. Dash time (sec) 5.41 5.05 7.01 7.17 6.73 5.68 Long-jump distance (in.) 171 184 90 65 78 130 Dash time (sec) 5.78 6.31 6.44 6.50 6.80 7.25 30 20 Long-jump distance (In.) 173 143 92 139 120 110 10 -10- -20- 190 180- -30- 75 Residual

Given are the 40-yard-dash times (in seconds) and long-jump distances (in inches) for a small class of 12 students. Also Use technology to create a residual plot. Sketch the given is the scatterplot created by this data: residual plot and comment about whether a linear model is appropriate. O The linear model relating the dash time to the long- jump distance is not appropriate because the correlation of the values in the residual plot is near 0. Dash time (sec) 5.41 5.05 7.01 7.17 6.73 5.68 Long-jump distance (in.) 171 184 90 65 78 130 Dash time (sec) 5.78 6.31 6.44 6.50 6.80 7.25 30 20 Long-jump distance (In.) 173 143 92 139 120 110 10 -10- -20- 190 180- -30- 75 Residual

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question 5 of 14> Given are the 40-yard-dash times (in seconds) and long-jump distances (in inches) for a small class of 12 students. Also Use technology to create a residual plot. Sketch the given is the scatterplot created by this data: residual plot and comment about whether a linear model is appropriate. O The linear model relating the dash time to the long- jump distance is not appropriate because the correlation of the values in the residual plot is near 0. Dash time (sec) 5.41 5.05 7.01 7.17 6.73 5.68 Long-jump distance (in.) 171 184 90 65 78 130 Dash time (sec) 5.78 6.31 6.44 6.50 6.80 7.25 30 20 Long-jump distance (In.) 173 143 92 139 120 110 10 -10- 190- 180- -20- -30- 55 65 75 170- E160- 150- 140- 130- 120- 110- 100- 90- 80- Dash time (sec) O The linear model relating the dash time to the long- jump distance is appropriate because there is no leftover pattern in the residual plot. The residuals look randomly scattered around the residual = 0 line. 30 20 70 E 10- 60- 2 -10- 6.5 Dash time (sec) 5.5 7.5 -20- -30- 5.5 75 Dash time (sec) The linear model relating the dash time to the long- jump distance is appropriate because there is no leftover pattern in the residual plot. The residuals look randomly scattered around the residual = 0 line. ong-jump di stance (in) jenpsa
Transcribed Image Text:Question 5 of 14> Given are the 40-yard-dash times (in seconds) and long-jump distances (in inches) for a small class of 12 students. Also Use technology to create a residual plot. Sketch the given is the scatterplot created by this data: residual plot and comment about whether a linear model is appropriate. O The linear model relating the dash time to the long- jump distance is not appropriate because the correlation of the values in the residual plot is near 0. Dash time (sec) 5.41 5.05 7.01 7.17 6.73 5.68 Long-jump distance (in.) 171 184 90 65 78 130 Dash time (sec) 5.78 6.31 6.44 6.50 6.80 7.25 30 20 Long-jump distance (In.) 173 143 92 139 120 110 10 -10- 190- 180- -20- -30- 55 65 75 170- E160- 150- 140- 130- 120- 110- 100- 90- 80- Dash time (sec) O The linear model relating the dash time to the long- jump distance is appropriate because there is no leftover pattern in the residual plot. The residuals look randomly scattered around the residual = 0 line. 30 20 70 E 10- 60- 2 -10- 6.5 Dash time (sec) 5.5 7.5 -20- -30- 5.5 75 Dash time (sec) The linear model relating the dash time to the long- jump distance is appropriate because there is no leftover pattern in the residual plot. The residuals look randomly scattered around the residual = 0 line. ong-jump di stance (in) jenpsa
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