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The scatterplot given compares data on the fuel consumption y of a car at various speeds x. Fuel consumption is measured in liters of gasoline per 100 kilometers driven, and speed is measured in kilometers per hour. A statistical software package gives the least-squares regression line y = 11.058 +0.01466x. %3D 10.0 Use the residual plot to determine if this linear model is 75 appropriate. O No. There is an obvious positive - negative- positive pattern in the residual plot so a linear model is not appropriate for these data. O Yes. There is an obvious positive - negative - positive pattern in the residual plot so-a linear model 5.0- 2.5 jenpisə

The scatterplot given compares data on the fuel consumption y of a car at various speeds x. Fuel consumption is measured in liters of gasoline per 100 kilometers driven, and speed is measured in kilometers per hour. A statistical software package gives the least-squares regression line y = 11.058 +0.01466x. %3D 10.0 Use the residual plot to determine if this linear model is 75 appropriate. O No. There is an obvious positive - negative- positive pattern in the residual plot so a linear model is not appropriate for these data. O Yes. There is an obvious positive - negative - positive pattern in the residual plot so-a linear model 5.0- 2.5 jenpisə

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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stion 4 of 14 > The scatterplot given compares data on the fuel consumption y of a car at various speeds x. Fuel consumption is measured in liters of gasoline per 100 kilometers driven, and speed is measured in kilometers per hour. A statistical software package gives the least-squares regression line ŷ = 11.058 +0.01466x. 10.0 - Use the residual plot to determine if this linear model is 75 appropriate. O No. There is an obvious positive- negative - positive 5.0 - pattern in the residual plot so a linear model is not appropriate for these data. O Yes. There is an obvious positive – negative – positive pattern in the residual plot so-a linear model is appropriate for these data: O No. The residuals do not have equal variability in the residual plot so a linear model is not appropriate for 2.5 - -2.5 -5.0 - 20 40 60 80 100 120 140 160 these data. Speed (km/h) O No. The residuals are not equally positive or negative in the residual plot so a linear model is not appropriate for these data. O Yes. The residuals have such small values that a linear model is appropriate for these data. Residual
Transcribed Image Text:stion 4 of 14 > The scatterplot given compares data on the fuel consumption y of a car at various speeds x. Fuel consumption is measured in liters of gasoline per 100 kilometers driven, and speed is measured in kilometers per hour. A statistical software package gives the least-squares regression line ŷ = 11.058 +0.01466x. 10.0 - Use the residual plot to determine if this linear model is 75 appropriate. O No. There is an obvious positive- negative - positive 5.0 - pattern in the residual plot so a linear model is not appropriate for these data. O Yes. There is an obvious positive – negative – positive pattern in the residual plot so-a linear model is appropriate for these data: O No. The residuals do not have equal variability in the residual plot so a linear model is not appropriate for 2.5 - -2.5 -5.0 - 20 40 60 80 100 120 140 160 these data. Speed (km/h) O No. The residuals are not equally positive or negative in the residual plot so a linear model is not appropriate for these data. O Yes. The residuals have such small values that a linear model is appropriate for these data. Residual
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