SCENARIO 15-6
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 ( R 2j )for the regression model using each of the 6 variables X j 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:
-Referring to Scenario 15-6,the variable X6 should be dropped to remove collinearity?
Definitions:
Q13: Referring to Scenario 13-3,the least squares estimate
Q14: Referring to Scenario 16-6,the fitted trend value
Q53: Referring to Scenario 16-9 and using a
Q60: Referring to Scenario 14-7,the department head
Q93: Referring to Scenario 13-13,the value of the
Q103: Referring to Scenario 13-12,the degrees of freedom
Q127: Referring to Scenario 18-4,if variables that measure
Q141: Referring to Scenario 18-5,the multiple regression model
Q175: Referring to Scenario 14-3,what is the estimated
Q195: Referring to Scenario 18-5,the 99% confidence interval