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Miles per gallon versus speed (miles per hour) for a new model automobile is fitted with a least squares regression line. Following is computer output of the statistical analysis of the data. Dependent variable: Miles per gallon Source df Sum of Squares Mean Square F-ratio Regression 1 199.34 199.34 3.79 Residual 315.54 5.59 Variable Coefficient SE Coef t-ratio P Constant 38.929 5.651 6.89 0.000 Speed -0.2179 0.112 -1.95 0.099 R-Sq = 38.7% S = 7.252 with 8 R-Sq(adj) = 28.5% 2 = 6 degrees of freedom

Miles per gallon versus speed (miles per hour) for a new model automobile is fitted with a least squares regression line. Following is computer output of the statistical analysis of the data. Dependent variable: Miles per gallon Source df Sum of Squares Mean Square F-ratio Regression 1 199.34 199.34 3.79 Residual 315.54 5.59 Variable Coefficient SE Coef t-ratio P Constant 38.929 5.651 6.89 0.000 Speed -0.2179 0.112 -1.95 0.099 R-Sq = 38.7% S = 7.252 with 8 R-Sq(adj) = 28.5% 2 = 6 degrees of freedom

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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Miles per gallon versus speed (miles per hour) for a new model automobile is fitted with a least squares regression line. Following is computer output of the statistical analysis of the data. Dependent variable: Miles per gallon Source df Sum of Squares Mean Square F-ratio Regression Residual 1 199.34 199.34 3.79 315.54 5.59 Variable Coefficient SE Coef t-ratio P Constant 38.929 5.651 6.89 0.000 Speed -0.2179 0.112 -1.95 0.099 R-Sq = 38.7% s = 7.252 with 8 - 2 = 6 degrees of freedom R-Sq(adj) = 28.5% Which of the following gives a 99% confidence interval for the slope of the regression line? O -0.2179 + 3.143(0.112) O -0.2179 + 3.143(0.112) O 38.929 + 3.143(5.651) O 38.929 + 3.707(5.651) O 38.929 + 3.143(5.651) v8 O -0.2179 + 3.707(0.112 O -0.2179 + 3.707(0.112) O 38.929 + 3.707(5.651) V8
Transcribed Image Text:Miles per gallon versus speed (miles per hour) for a new model automobile is fitted with a least squares regression line. Following is computer output of the statistical analysis of the data. Dependent variable: Miles per gallon Source df Sum of Squares Mean Square F-ratio Regression Residual 1 199.34 199.34 3.79 315.54 5.59 Variable Coefficient SE Coef t-ratio P Constant 38.929 5.651 6.89 0.000 Speed -0.2179 0.112 -1.95 0.099 R-Sq = 38.7% s = 7.252 with 8 - 2 = 6 degrees of freedom R-Sq(adj) = 28.5% Which of the following gives a 99% confidence interval for the slope of the regression line? O -0.2179 + 3.143(0.112) O -0.2179 + 3.143(0.112) O 38.929 + 3.143(5.651) O 38.929 + 3.707(5.651) O 38.929 + 3.143(5.651) v8 O -0.2179 + 3.707(0.112 O -0.2179 + 3.707(0.112) O 38.929 + 3.707(5.651) V8
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