Model Summary (Absent) R R Square Adjusted R Square Std. Error of the Estimate .54 .29 .26 2.94 ANOVA (Absent) Sum of Sq

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Model Summary Absent R R Square Adjusted R Square Std Error Of The Estimate 54 29 26 2 94 Anova Absent Sum Of Sq 1 (64.57 KiB) Viewed 116 times

Model Summary Absent R R Square Adjusted R Square Std Error Of The Estimate 54 29 26 2 94 Anova Absent Sum Of Sq 2 (44.2 KiB) Viewed 116 times

Model Summary (Absent) R R Square Adjusted R Square Std. Error of the Estimate .54 .29 .26 2.94 ANOVA (Absent) Sum of Squares df 311.51 4 771.88 89 1083.39 93 Regression Residual Total Coefficients (Absent) (Constant) Bad UM Rel Good UM Rel Pct_PT Pct U Mean Square F 77.88 8.67 4.25 2.11 -22 -.11 .06 Unstandardized Coefficients Standardized Coefficients B Std. Error Sig. 8.98 .000 .88 .68 .92 .04 .02 Beta .00 .29 -.02 -.27 .34 Sig. .000 .003 .812 -2.98 .004 3.72 .000 t 4.81 3.10 -.24 Suppose you decide to examine the link between absenteeism and union-management relations using multiple regression analysis. The analysis uses firm-level data. Y = Average # of days absent within a firm in a year Bad UM_Rel = a dummy variable indicating BAD union-management relations (omitted category= NEUTRAL relations) Good_UM_Rel = a dummy variable indicating GOOD union-management relations (omitted category= NEUTRAL relations) Pct_PT = the percentage of a firm's employees who are part time. Pct_U = the percentage of a firm's employees who are members of a labor union.
Questions: Answer parts (a), (b), (c), (d), (e), and (f). (a) Type the value of the (unstandardized) slope coefficient on PCT_PT and interpret its meaning in words. (3 points) (b). Using the p-value method, do a hypothesis test for whether there is a statistically significant relationship between Pct_PT (X3) and Absences (Y). Show all steps to your hypothesis test and use a significance level of 5%. (4 points) (c) Type the value of the (standardized) slope coefficient on PCT_U and interpret its meaning in words. (3 points) (d) Using the p-value method, do a hypothesis test for whether there is a statistically significant relationship between Pct U and Absences (Y). Show all steps to your hypothesis test and use a significance level of 5%. (4 points) (e) Type the value of the R-square and interpret its meaning in words. (4 points)