document.write( "Question 193344: In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald’s
\n" );
document.write( "employees. (a) Write the fitted regression equation. (b) State the degrees of freedom for a twotailed
\n" );
document.write( "test for zero slope, and use Appendix D to find the critical value at α = .05. (c) What is your
\n" );
document.write( "conclusion about the slope? (d) Interpret the 95 percent confidence limits for the slope. (e) Verify
\n" );
document.write( "that F = t2 for the slope. (f) In your own words, describe the fit of this regression.
\n" );
document.write( "R2 0.202
\n" );
document.write( "Std. Error 6.816
\n" );
document.write( "n 35
\n" );
document.write( "ANOVA table
\n" );
document.write( "Source SS df MS F p-value
\n" );
document.write( "Regression 387.6959 1 387.6959 8.35 .0068
\n" );
document.write( "Residual 1,533.0614 33 46.4564
\n" );
document.write( "Total 1,920.7573 34
\n" );
document.write( "Regression output confidence interval
\n" );
document.write( "variables coefficients std. error t (df = 33) p-value 95% lower 95% upper
\n" );
document.write( "Intercept 30.7963 6.4078 4.806 .0000 17.7595 43.8331
\n" );
document.write( "Slope 0.0343 0.0119 2.889 .0068 0.0101 0.0584
\n" );
document.write( " \n" );
document.write( "
Algebra.Com's Answer #145159 by stanbon(75887)![]() ![]() ![]() You can put this solution on YOUR website! In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald’s employees. \n" ); document.write( "(a) Write the fitted regression equation. Y 0.0343X + 30.7963 \n" ); document.write( "--------------------------- \n" ); document.write( "(b) State the degrees of freedom for a two tailed test for zero slope, and use Appendix D to find the critical value at α = .05. \n" ); document.write( "df = 34 ; I don't have your D-chart. \n" ); document.write( "(c) What is your conclusion about the slope? \n" ); document.write( "Since the p-value is greater than 5% the slope fail to reject Ho: rho = 0 \n" ); document.write( "(d) Interpret the 95 percent confidence limits for the slope. \n" ); document.write( "We are 95% confident the slope is between 17.7595 and 43.8331 \n" ); document.write( "(e) Verify that F = t2 for the slope. 8.35 = 2.89^2 \n" ); document.write( "(f) In your own words, describe the fit of this regression. \n" ); document.write( "It is not very good as seen in R^2 = 0.202. Only 20% of the \n" ); document.write( "variation in Y is explained by the regression equation. \n" ); document.write( "Cheers, \n" ); document.write( "Stan H. \n" ); document.write( "=============================================================== \n" ); document.write( "R2 0.202 ; Std. Error 6.816 ; n 35 \n" ); document.write( "ANOVA table \n" ); document.write( "Source....... SS... df... MS... F... p-value \n" ); document.write( "Regression 387.6959 1 387.6959 8.35 .0068 \n" ); document.write( "Residual 1,533.0614 33 46.4564 \n" ); document.write( "Total... 1,920.7573 34 \n" ); document.write( "------------------------------------------------ \n" ); document.write( "Regression output confidence interval \n" ); document.write( "variables coefficients std. error t (df = 33) p-value 95% lower 95% upper \n" ); document.write( "Intercept 30.7963 6.4078 4.806 .0000 17.7595 43.8331 \n" ); document.write( "Slope .....0.0343 0.0119 2.889 .0068 0.0101.. 0.0584 \n" ); document.write( " \n" ); document.write( " |