Examlex

Solved

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

question 130

Short Answer

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 the correct alternative hypothesis to test whether age has any effect on the number of weeks a worker is unemployed due to a layoff while Holding constant the effect of the other independent variable? a)  H _ { 1 } : \beta _ { 1 } = 0  b)  H _ { 1 } : \beta _ { 1 } \neq 0  c)  H _ { 1 } : \beta _ { 2 } = 0  d)  H _ { 1 } : \beta _ { 2 } \neq 0


 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 the correct alternative hypothesis to test whether age has any effect on the number of weeks a worker is unemployed due to a layoff while
Holding constant the effect of the other independent variable? a) H1:β1=0H _ { 1 } : \beta _ { 1 } = 0
b) H1:β10H _ { 1 } : \beta _ { 1 } \neq 0
c) H1:β2=0H _ { 1 } : \beta _ { 2 } = 0
d) H1:β20H _ { 1 } : \beta _ { 2 } \neq 0


Definitions:

Motor Output

The response action of the nervous system activating muscles or glands after processing information.

Sensory Input

Refers to the stimuli or data received by the senses, which is then interpreted by the brain.

Physiological Responses

Refers to the automatic reactions or processes that occur within an organism in response to external or internal stimuli, including physical and biochemical changes.

Emotions

Complex psychological states that involve physiological expressions, psychological responses, and cognitive appraisals, influencing behavior and perception.

Related Questions