Please help me understand these questions and answers.

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.

1- Referring to the table, there is sufficient evidence that at least one of the explanatory variables is related to the number of weeks a worker is unemployed due to a layoff at a 10% level of significance. True or False?

2- Referring to the table, what is the upper limit of the 95% confidence interval estimate for the difference in the mean number of weeks a worker is unemployed due to a layoff between a worker who is married and one who is not after taking into consideration the effect of all the other independent variables?

3- Referring to the table, you can conclude that, holding constant the effect of the other independent variables, the number of years of education received has no impact on the mean number of weeks a worker is unemployed due to a layoff at a 5% level of significance if we use only the information of the 95% confidence interval estimate for ?2. True or False?

4- Referring to the table, what %of the variation in the number of weeks a worker is unemployed due to a layoff can be explained by the six independent variables?

GE Test 3 - Table 1 Q Search in Document Home Insert Design Layout References Mailings Review View '+ Share Calibri (Body) * 11 A . Lo Past B I U . abE X2 X2 |A . L . A . = = = =13 .. Styles Styles Pane Regression Statistics Multiple R 0.7035 0.4949 Adjusted 0.4030 Standard 18.4861 Observations ANOVA MS Significance F Regression 11048.6415 1841.4402 5.3885 0.00057 Total 33 11277.2586 341 .735 22325.9 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% tercept 32.6595 23 18302 1.4088 0. 1683 -14.5067 79 8257 Age 1.2915 0.3599 3.5883 0.0011 0.5592 2.0238 Edu -1.3537 1.1766 -1.1504 0.2582 -3.7476 Job Yr 0.6171 0.5940 1.0389 0.3064 -0.5914 1.8257 Married -5.2189 7.6068 -0.6861 0.4974 - 20.6950 10.2571 Head 14.2978 7.6479 1.8695 0.0704 29.8575 1.2618 Manager -24.8203 11.6932 -2. 1226 0.0414 -48.6102 -1.0303 Page 1 of 1 0 words English (United States) EO E + 81%