document.write( "Question 131445: Please kindly help me. I am struggling with this question. I desperately need your help. \r
\n" ); document.write( "\n" ); document.write( "12.48 In the following regression, X = weekly pay, Y = income tax withheld, and
\n" ); document.write( "n = 35 McDonald’s employees.
\n" ); document.write( "(a) Write the fitted regression equation.
\n" ); document.write( "(b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to find the
\n" ); document.write( "critical value at alpha = .05.
\n" ); document.write( "(c) What is your conclusion about the slope?
\n" ); document.write( "(d) Interpret the 95 percent confidence limits for the slope.
\n" ); document.write( "(e) Verify that F = t2 for the slope.
\n" ); document.write( "(f) In your own words, describe the fit of this regression.
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\n" ); document.write( "R2 0.202
\n" ); document.write( "Std. Error 6.816
\n" ); document.write( "n 35
\n" ); document.write( "
\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 0.0068
\n" ); document.write( "Residual 1533.0614 33 46.4564
\n" ); document.write( "Total 1920.7573 34
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\n" ); document.write( "Regression output Confidence interval
\n" ); document.write( "variables coefficients std. error t(df=33) p-value 95% lower95% upper
\n" ); document.write( "Intercept 30.7963 6.4078 4.806 0.0000 17.7595 43.8331
\n" ); document.write( "Slope 0.0343 0.0119 2.889 0.0068 0.0101 0.0584
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Algebra.Com's Answer #95969 by stanbon(75887)\"\" \"About 
You can put this solution on YOUR website!
You will have to judge whether this feedback makes any sense as this is
\n" ); document.write( "not a familiar area for me.
\n" ); document.write( "_____________________________\r
\n" ); document.write( "
\n" ); document.write( "
\n" ); document.write( "\n" ); document.write( "In the following regression, X = weekly pay, Y = income tax withheld, and
\n" ); document.write( "n = 35 McDonald’s employees.
\n" ); document.write( "(a) Write the fitted regression equation.
\n" ); document.write( "Looking at your \"Regression Output\" I see
\n" ); document.write( "Y = 0.0343X + 30.7963
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\n" ); document.write( "(b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to find the
\n" ); document.write( "critical value at alpha = .05.
\n" ); document.write( "-------
\n" ); document.write( "Again, based on your \"Regression Output\" data, df=33
\n" ); document.write( "I don't know what your \"D\" chart is but you have to look
\n" ); document.write( "at it to find the critical values for 2-tail tests with
\n" ); document.write( "alpha=5%
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\n" ); document.write( "
\n" ); document.write( "(c) What is your conclusion about the slope?
\n" ); document.write( "The p-value is 0.0068 so, whatever your Ho is, you
\n" ); document.write( "are going to reject it.
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\n" ); document.write( "
\n" ); document.write( "(d) Interpret the 95 percent confidence limits for the slope.
\n" ); document.write( "With 95% confidence you can claim the slope of the regression
\n" ); document.write( "line is between 0.0101 and 0.0584.
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\n" ); document.write( "(e) Verify that F = t2 for the slope.
\n" ); document.write( "Not sure what this is all about.
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\n" ); document.write( "(f) In your own words, describe the fit of this regression.
\n" ); document.write( "I'll leave that to you.
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H. \r
\n" ); document.write( "\n" ); document.write( "R2 0.202
\n" ); document.write( "Std. Error 6.816
\n" ); document.write( "n 35 \r
\n" ); document.write( "\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 0.0068
\n" ); document.write( "Residual 1533.0614 33 46.4564
\n" ); document.write( "Total 1920.7573 34 \r
\n" ); document.write( "\n" ); document.write( "Regression output Confidence interval
\n" ); document.write( "variables coefficients std. error t(df=33) p-value 95% lower95% upper
\n" ); document.write( "Intercept 30.7963 6.4078 4.806 0.0000 17.7595 43.8331
\n" ); document.write( "Slope 0.0343 0.0119 2.889 0.0068 0.0101 0.0584\r
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