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What is the value of R2? Provide an interpretation. O a. The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. O b. The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. C. The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d. None of the above is correct.

What is the value of R2? Provide an interpretation. O a. The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. O b. The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. C. The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d. None of the above is correct.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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QUESTION 15 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below. Variable Y X1 x2 X3 X4 x5 Intercept X1 X2 X3 X4 X5 Description number of days absent last fiscal year commuting distance (in miles) employee's age (in years) single-parent household (0-yes, 1-no) length of employment (in years) shift (0-day, 1-night) Coefficients Standard Error / Statistic p-value 6.594146 3.273005 2.014707 0.047671 -0.18019 0.141949 -1.26939 0.208391 1.028828 0.015584 0.268156 0.260643 0.962056 -2.40182 0.018896 -2.31068 -0.50579 0.270872 -1.86725 0.065937 0.940321 2.47736 0.307005 2.329513 MS df SS F p-value Regression 5 279.358 55.8716 4.423755 0.001532 Residual 67 846.2036 12.6299 Total 72 1125.562 a. R=0.498191 R2-0.248194 Adj R² = 0.192089 Se=3.553858 n = 73 What is the value of R2? Provide an interpretation. The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. O b. The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d. None of the above is correct.
Transcribed Image Text:QUESTION 15 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below. Variable Y X1 x2 X3 X4 x5 Intercept X1 X2 X3 X4 X5 Description number of days absent last fiscal year commuting distance (in miles) employee's age (in years) single-parent household (0-yes, 1-no) length of employment (in years) shift (0-day, 1-night) Coefficients Standard Error / Statistic p-value 6.594146 3.273005 2.014707 0.047671 -0.18019 0.141949 -1.26939 0.208391 1.028828 0.015584 0.268156 0.260643 0.962056 -2.40182 0.018896 -2.31068 -0.50579 0.270872 -1.86725 0.065937 0.940321 2.47736 0.307005 2.329513 MS df SS F p-value Regression 5 279.358 55.8716 4.423755 0.001532 Residual 67 846.2036 12.6299 Total 72 1125.562 a. R=0.498191 R2-0.248194 Adj R² = 0.192089 Se=3.553858 n = 73 What is the value of R2? Provide an interpretation. The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. O b. The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d. None of the above is correct.
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