A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days51513390377144Sick Days55154996539 Interpret r2r2 : There is a 58% chance that the regression line will be a good predictor for the number of sick days taken based on the number of vacation days taken.Given any group with a fixed number of vacation days taken, 58% of all of those employees will take the predicted number of sick days.58% of all employees will take the average number of sick days.There is a large variation in the number of sick days employees take, but if you only look at employees who take a fixed number of vacation days, this variation on average is reduced by 58%.please choose 1 correct answer The equation of the linear regression line is: ˆy^ = ? + ?x (Please show your answers to 3 decimal places)

Excel Procedure: Enter Vacation days and Sick days in Excel>Data>Data Analysis>…

A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Interpret r2r2 : There is a 58% chance that the regression line will be a good predictor for the number of sick days taken based on the number of vacation days taken. Given any group with a fixed number of vacation d

A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Interpret r2r2 : There is a 58% chance that the regression line will be a good predictor for the number of sick days taken based on the number of vacation days taken. Given any group with a fixed number of vacation d

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Vacation Days	5	15	13	3	9	0	3	7	7	14	4
Sick Days	5	5	1	5	4	9	9	6	5	3	9

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The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars. Predictor Coefficient SE Coefficient t p-value Constant 7.096 3.245 2.187 0.010 x1 0.222 0.117 1.897 0.000 x2 − 1.024 0.562 − 1.822 0.028 x3 − 0.337 0.192 − 1.755 0.114 x4 0.623 0.263 2.369 0.001 x5 − 0.058 0.029 − 2.000 0.112 Analysis of Variance Source DF SS MS F p-value Regression 5 2,009.28 401.9 7.33 0.000 Residual Error 50 2,741.54 54.83 Total 55 4,750.81 x1 is the number of architects employed by the company. x2 is the number of engineers employed by the company. x3 is the number of years involved with health care projects. x4 is the number of states in which the firm operates. x5 is the percent of the firm’s work that is health care−related. Write out…
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The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars. Predictor Coefficient SE Coefficient t p-value Constant 7.987 2.967 2.690 0.010 x1 0.122 0.031 3.920 0.000 x2 − 1.120 0.053 − 2.270 0.028 x3 − 0.063 0.039 − 1.610 0.114 x4 0.523 0.142 3.690 0.001 x5 − 0.065 0.040 − 1.620 0.112 Analysis of Variance Source DF SS MS F p-value Regression 5 371000 742 12.89 0.000 Residual Error 46 2647.38 57.55 Total 51 6357.38 x1 is the number of architects employed by the company. x2 is the number of engineers employed by the company. x3 is the number of years involved with health care projects. x4 is the number of states in which the firm operates. x5 is the percent of the firm’s work that is health care–related. Write out the…