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. Click the icon to view the results. Determine whether the following statement is true or false: We can conclude definitively that, holding constant the effect of the other independent variable, age has an impact on the mean number of weeks a worker is unemployed due to a layoff at a 10% level of significance if all we have is the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff. - X True Regression Statistics False Regression Statistics Multiple R 0.6391 R Square 0.4085 Adjusted R Square 0.3765 Standard Error 18.8929 Observations 40 ANOVA MS Significance F 0.0000 df SS Regression 9119.0897 4559.5448 12.7740 Residual 37 13206.8103 356.9408 Total 39 22325.9 Coefficients Standard Error t Stat P-value Intercept -0.2143 11.5796 -0.0185 0.9853 Age 1.4448 0.3160 4.5717 0.0000 Manager -22.5761 11.3488 -1.9893 0.0541 o o
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. Click the icon to view the results. Determine whether the following statement is true or false: We can conclude definitively that, holding constant the effect of the other independent variable, age has an impact on the mean number of weeks a worker is unemployed due to a layoff at a 10% level of significance if all we have is the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff. - X True Regression Statistics False Regression Statistics Multiple R 0.6391 R Square 0.4085 Adjusted R Square 0.3765 Standard Error 18.8929 Observations 40 ANOVA MS Significance F 0.0000 df SS Regression 9119.0897 4559.5448 12.7740 Residual 37 13206.8103 356.9408 Total 39 22325.9 Coefficients Standard Error t Stat P-value Intercept -0.2143 11.5796 -0.0185 0.9853 Age 1.4448 0.3160 4.5717 0.0000 Manager -22.5761 11.3488 -1.9893 0.0541 o o
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Transcribed Image Text: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.
E Click the icon to view the results.
Determine whether the following statement is true or false: We can conclude definitively that, holding constant the effect of the other independent variable, age has an impact on the mean number of weeks a worker is unemployed due to
a layoff at a 10% level of significance if all we have is the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff.
Regression Statistics
True
False
Regression Statistics
Multiple R
0.6391
R Square
0.4085
Adjusted R Square
0.3765
Standard Error
18.8929
Observations
40
ANOVA
df
SS
MS
Significance F
Regression
2
9119.0897
4559,5448
12.7740
0.0000
Residual
37
13206.8103
356.9408
Total
39
22325.9
Coefficients
Standard Error
t Stat
P-value
Intercept
-0.2143
11.5796
-0.0185
0.9853
Age
1.4448
0.3160
4.5717
0.0000
Manager
-22.5761
11.3488
-1.9893
0.0541
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