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SCENARIO 14-17
Given Below Are Results from the Regression Analysis

question 294

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SCENARIO 14-17
Given below are results from the regression analysis where the dependent variable is the number of
weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age
of the worker (Age) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .
The results of the regression analysis are given below:   Regression Statistics  Multiple R 0.6391 R Square 0.4085 Adjusted R Square 0.3765 Standard Error 18.8929 Observations 40\begin{array}{l}\hline \ { \text { Regression Statistics } } \\\hline \text { Multiple R } & 0.6391 \\\text { R Square } & 0.4085 \\\text { Adjusted R Square } & 0.3765 \\\text { Standard Error } & 18.8929 \\\text { Observations } & 40 \\\hline\end{array}

 ANOVA \text { ANOVA }
 SCENARIO 14-17 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy)  and the independent variables are the age of the worker (Age)  and a dummy variable for management position (Manager: 1 = yes, 0 = no) . The results of the regression analysis are given below:  \begin{array}{l} \hline \ { \text { Regression Statistics } } \\ \hline \text { Multiple R } & 0.6391 \\ \text { R Square } & 0.4085 \\ \text { Adjusted R Square } & 0.3765 \\ \text { Standard Error } & 18.8929 \\ \text { Observations } & 40 \\ \hline \end{array}    \text { ANOVA }       \begin{array} { l r r r r }  \hline & \text { Coefficients } & \text { Standard Error } & { t \text { Stat } } &  { \text { P-value } } \\ \hline \text { Intercept } & - 0.2143 & 11.5796 & - 0.0185 & 0.9853 \\ \text { Age } & 1.4448 & 0.3160 & 4.5717 & 0.0000 \\ \text { Manager } & - 22.5761 & 11.3488 & - 1.9893 & 0.0541 \\ \hline  \end{array}  -Referring to Scenario 14-17, which of the following is a correct statement? A)  On average, a worker who is a year older is estimated to stay jobless shorter by approximately 0.2143 weeks while holding constant the effects of the manager dummy Variable. B)  On average, a worker who is a year older is estimated to stay jobless longer by approximately 0.2143 weeks while holding constant the effects of the manager dummy Variable. C)  On average, a worker who is a year older is estimated to stay jobless shorter by approximately 1.4448 weeks while holding constant the effects of the manager dummy Variable. D)  On average, a worker who is a year older is estimated to stay jobless longer by approximately 1.4448 weeks while holding constant the effects of the manager dummy Variable.


 Coefficients  Standard Error t Stat  P-value  Intercept 0.214311.57960.01850.9853 Age 1.44480.31604.57170.0000 Manager 22.576111.34881.98930.0541\begin{array} { l r r r r } \hline & \text { Coefficients } & \text { Standard Error } & { t \text { Stat } } & { \text { P-value } } \\\hline \text { Intercept } & - 0.2143 & 11.5796 & - 0.0185 & 0.9853 \\\text { Age } & 1.4448 & 0.3160 & 4.5717 & 0.0000 \\\text { Manager } & - 22.5761 & 11.3488 & - 1.9893 & 0.0541 \\\hline\end{array}
-Referring to Scenario 14-17, which of the following is a correct statement?


Definitions:

Social Loafing

The occurrence in which people put forth less effort towards attaining a goal while working as part of a group than they do when working individually.

Deindividuation

This psychological phenomenon occurs when individuals immersed in a group lose their sense of individual identity, often resulting in a detachment from personal responsibility and an increase in impulsive behaviors.

Colliding Cultures

The clash that occurs when different cultural values, beliefs, practices, or attitudes interact, often leading to conflict or misunderstanding.

Normative Social Influence

Influence resulting from a person’s desire to gain approval or avoid disapproval.

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