5. In a study of the performance of a computer printer, the size (in kilobytes) and...
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5. In a study of the performance of a computer printer, the size (in kilobytes) and the printing time (in seconds) for each of 22 small text files were recorded. A regression line was a satisfactory description of the relationship between size and printing time. The results of the regression analysis are shown below. Coefficients 11.6559 3.47812 Intercept Size Standard Error 0.3153 0.294 0.875 0.869 0.6174 t-stat 37 11.8 Regression Statistics R Square Adjusted R Square Standard error Observations 22 a. Write down the regression equation. 2 points b. Interpret the slope of the regression equation (b₁). 2 points P-value <0.0001 <0.0001 c. Interpret the value of for R-squared. 2 points d. Is size a significant factor in predicting the printing time? Support your answer using the output. 2 points e. Use the regression equation to predict the printing time of a printer if size is 80kb. 2 points 5. In a study of the performance of a computer printer, the size (in kilobytes) and the printing time (in seconds) for each of 22 small text files were recorded. A regression line was a satisfactory description of the relationship between size and printing time. The results of the regression analysis are shown below. Coefficients 11.6559 3.47812 Intercept Size Standard Error 0.3153 0.294 0.875 0.869 0.6174 t-stat 37 11.8 Regression Statistics R Square Adjusted R Square Standard error Observations 22 a. Write down the regression equation. 2 points b. Interpret the slope of the regression equation (b₁). 2 points P-value <0.0001 <0.0001 c. Interpret the value of for R-squared. 2 points d. Is size a significant factor in predicting the printing time? Support your answer using the output. 2 points e. Use the regression equation to predict the printing time of a printer if size is 80kb. 2 points
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a The regression equation is Printing Time 116559 347812 Size b The slope of the re... View the full answer
Related Book For
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
Posted Date:
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