An industrial psychologist examined the number of absences for employees in Company A. She wanted to look into a possibility that the number of absences may regressed onto the level of stress that employees feel. The following data set bel indicates perceived level of stress (Variable X) for a sample of 10 employees in Company A and the number of their absences in one mon (Variable Y). A greater number for X indicates a higher level of stress. If you find a linear regression equation, what is the regression slope from the data below? Enter the number using decimal points (use two decimal points). Round to the closest second decimal point. For instance, if your answer is 0.3456, enter "0.35" Level of Stress (X) 2 1 3 7 2 5 2 4 8 6 # of Absences (Y) 4 7 6 9 6 8 7 10 11 7
An industrial psychologist examined the number of absences for employees in Company A. She wanted to look into a possibility that the number of absences may regressed onto the level of stress that employees feel. The following data set bel indicates perceived level of stress (Variable X) for a sample of 10 employees in Company A and the number of their absences in one mon (Variable Y). A greater number for X indicates a higher level of stress. If you find a linear regression equation, what is the regression slope from the data below? Enter the number using decimal points (use two decimal points). Round to the closest second decimal point. For instance, if your answer is 0.3456, enter "0.35" Level of Stress (X) 2 1 3 7 2 5 2 4 8 6 # of Absences (Y) 4 7 6 9 6 8 7 10 11 7
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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