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(a) What is the regression equation for this data set? (Write the printed a and b values into the equation. Hint: Under the Coefficient column

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(a) What is the regression equation for this data set? (Write the printed "a" and "b" values into the equation. Hint: Under the Coefficient column the value for the Intercept is the value for "a" and the X Variable value is the value for "b". ) (b) Interpret the printed value for "a" relative to its definition, the X and Y variable names, and its value. (c) Interpret the printed value for "b" relative to its definition, the X and Y variable names, and its value. (d) Interpret the printed value for "r" relative to its definition, the X and Y variable names, and its value. (**Hint: Under the Regression Statistics section the Multiple R value is the correlation coefficient and the R Square value is the Coefficient of Determination. The printed table value for "r" does not always indicate direction (+ or -), therefore, check that the sign for your "r" value agrees with the sign for your "b" value.) (e) Interpret the printed value for "r?" relative to its definition, the X and Y variable names, and its value.X V Miles Minutes Chart Title 11 28 10 27 15 35 7 15 3 8 6 14 MINUTES LO 20 12 29 un 13 SUMMARY OUTPUT 5 10 15 20 MILES Regression Statistics Multiple R 0.98499228 R Square 0.97020979 Adjusted R 5 0.96595404 Standard Err 1.68101592 Observations 9 Forcast for Y when X=13 31.3011696 ANOVA dif SS MS F Significance F Regression 1 644.219298 644.219298 227.976497 1.3436E-06 Residual 7 19.7807018 2.82581454 Total 8 664 Coefficients itandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.39766082 1.47506682 0.26958834 0.79525108 -3.0903179 3.88563958 -3.0903179 3.88563958 X Variable 1 2.37719298 0.15744157 15.0988906 1.3436E-06 2.00490284 2.74948313 2.00490284 2.74948313

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