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Instruction 16-6
Given Below Are Results from the Regression Analysis

question 69

True/False

Instruction 16-6
Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y) and the independent variables are the age of the worker (X1), the number of years of education received (X2), the number of years at the previous job (X3), a dummy variable for marital status (X4: 1 = married, 0 = otherwise), a dummy variable for head of household (X5: 1 = yes, 0 = no) and a dummy variable for management position (X6: 1 = yes, 0 = no).
The coefficient of multiple determination (R2j) the regression model using each of the 6 variables Xj as the dependent variable and all other X variables as independent variables are, respectively, 0.2628, 0.1240, 0.2404, 0.3510, 0.3342 and 0.0993.
The partial results from best-subset regression are given below:
 Model  R Square  Adj. R Square  Std. Error X1X5X60.45680.411618.3534X1X2X5X60.46970.409118.3919X1X3X5X60.46910.408418.4023X1X2X3X5X60.48770.412318.3416X1X2X3X4X5X60.49490.403018.4861\begin{array} { | l | l | l | l | } \hline \text { Model } & \text { R Square } & \text { Adj. R Square } & \text { Std. Error } \\\hline X _ { 1 } X _ { 5 } X _ { 6 } & 0.4568 & 0.4116 & 18.3534 \\\hline X _ { 1 } X _ { 2 } X _ { 5 } X _ { 6 } & 0.4697 & 0.4091 & 18.3919 \\\hline X _ { 1 } X _ { 3 } X _ { 5 } X _ { 6 } & 0.4691 & 0.4084 & 18.4023 \\\hline X _ { 1 } X _ { 2 } X _ { 3 } X _ { 5 } X _ { 6 } & 0.4877 & 0.4123 & 18.3416 \\\hline X _ { 1 } X _ { 2 } X _ { 3 } X _ { 4 } X _ { 5 } X _ { 6 } & 0.4949 & 0.4030 & 18.4861 \\\hline\end{array}
-Referring to Instruction 16-6,the variable X5 should be dropped to remove collinearity.


Definitions:

Funder and Ozer

Researchers known for their work in personality psychology, including the debate on the predictive power of personality measures.

Situationist Argument

A perspective in psychology emphasizing that human behavior is largely influenced by external situational factors rather than personal traits.

Effect Sizes

Effect sizes are quantitative measures used in statistical analysis to assess the magnitude of a relationship or difference between two or more groups.

Situationist Argument

A perspective emphasizing that people's behavior is largely influenced by their surrounding environment and situational contexts rather than by internal traits.

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