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

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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 the correct alternative hypothesis to determine whether there is a significant relationship between percentage of students passing the Proficiency test and the entire set of explanatory variables? e)  H _ { 1 }  : All  \beta _ { j } \neq 0  for  j = 0,1,2  f)  H _ { 1 }  : All  \beta _ { j } \neq 0  for  j = 1,2  g)  H _ { 1 }  : At least one of  \beta _ { j } \neq 0  for  j = 0,1,2  h)  H _ { 1 } :  At least one of  \beta _ { j } \neq 0  for  j = 1,2


 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 determine whether there is a significant relationship between percentage of students passing the
Proficiency test and the entire set of explanatory variables? e) H1H _ { 1 } : All βj0\beta _ { j } \neq 0 for j=0,1,2j = 0,1,2
f) H1H _ { 1 } : All βj0\beta _ { j } \neq 0 for j=1,2j = 1,2
g) H1H _ { 1 } : At least one of βj0\beta _ { j } \neq 0 for j=0,1,2j = 0,1,2
h) H1:H _ { 1 } : At least one of βj0\beta _ { j } \neq 0 for j=1,2j = 1,2


Definitions:

Cash Sales Return

Refunds issued to customers for goods returned that were originally purchased with cash, impacting both the company's inventory and its cash balances.

Cash Payments Journal

A financial journal that records all disbursements of cash, including expenses, asset purchases, and debt payments.

Merchandise

Goods that are purchased with the intention of reselling them to customers, typically found in the inventory of retail businesses.

Purchases Journal

An accounting journal used to record all purchases of goods and services on credit.

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