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

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