SCENARIO 17-10 Given Below Are Results from the Regression Analysis $1 =$

question 327

Short Answer

SCENARIO 17-10 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), the number of years of education received (Edu), the number of years at the previous job (Job Yr), a dummy variable for marital status (Married: $1 =$ married, $0 =$ otherwise), a dummy variable for head of household (Head: $1 =$ yes, $0 =$ no) and a dummy variable for management position (Manager: $1 =$ yes, $0 =$ no). We shall call this Model 1. The coefficient of partial determination ( $R _ { \mathrm { y } } ^ { 2 }$ (All raiables excopt $j$ ) ) of each of the 6 predictors are, respectively, $0.2807$ , $0.0386,0.0317,0.0141,0.0958$ , and $0.1201$ .

$\begin{array}{lr}\hline{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.7035 \\\text { R Square } & 0.4949 \\\text { Adjusted R } & 0.4030 \\\text { Square } & \\\text { Standard } & 18.4861 \\\text { Error } & \\\text { Observations } & 40 \\\hline\end{array}$
$\text { ANOVA }$



$$\begin{array}{l}\begin{array} { l r r r r r r } \hline & \text { Coefficients } & \text { Standard Error } & { t \text { Stat } } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & 32.6595 & 23.18302 & 1.4088 & 0.1683 & - 14.5067 & 79.8257 \\\text { Age } & 1.2915 & 0.3599 & 3.5883 & 0.0011 & 0.5592 & 2.0238 \\\text { Edu } & - 1.3537 & 1.1766 & - 1.1504 & 0.2582 & - 3.7476 & 1.0402 \\\text { Job Yr } & 0.6171 & 0.5940 & 1.0389 & 0.3064 & - 0.5914 & 1.8257 \\\text { Married } & - 5.2189 & 7.6068 & - 0.6861 & 0.4974 & - 20.6950 & 10.2571 \\\text { Head } & - 14.2978 & 7.6479 & - 1.8695 & 0.0704 & - 29.8575 & 1.2618 \\\text { Manager } & - 24.8203 & 11.6932 & - 2.1226 & 0.0414 & - 48.6102 & - 1.0303 \\\hline\end{array}\end{array}$$
-Referring to Scenario 17-10 Model 1, which of the following is the correct alternative hypothesis to determine whether there is a significant relationship between the number of weeks a
Worker is unemployed due to a layoff and the entire set of explanatory variables? a) $H _ { 1 }$ : All $\beta _ { j } \neq 0$ for $j = 0,1,2,3,4,5,6$
b) $H _ { 1 }$ : All $\beta _ { j } \neq 0$ for $j = 1,2,3,4,5,6$
c) $H _ { 1 }$ : At least one of $\beta _ { j } \neq 0$ for $j = 0,1,2,3,4,5,6$
d) $H _ { 1 }$ : At least one of $\beta _ { j } \neq 0$ for $j = 1,2,3,4,5,6$

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Passionate Love

An intense emotional and physical attraction to another person that is characterized by a high level of arousal and desire.

Bystanders

Individuals who are present at an event or situation but do not take part in it, often discussed in the context of emergency or crime scenarios.

Individual Bystander

A person who is present at an event or incident but does not take part or intervene, often discussed in the context of emergency psychology and social psychology.

Personally Intervening

Personally intervening means taking direct action or involving oneself directly in a situation, typically to influence the outcome or to provide assistance.