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 ( Ry2 (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 .
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.70350.49490.403018.486140
ANOVA

Intercept Age Edu Job Yr Married Head Manager Coefficients 32.65951.2915−1.35370.6171−5.2189−14.2978−24.8203 Standard Error 23.183020.35991.17660.59407.60687.647911.6932t Stat 1.40883.5883−1.15041.0389−0.6861−1.8695−2.1226 P-value 0.16830.00110.25820.30640.49740.07040.0414 Lower 95% −14.50670.5592−3.7476−0.5914−20.6950−29.8575−48.6102 Upper 95% 79.82572.02381.04021.825710.25711.2618−1.0303
-Referring to Scenario 17-10 Model 1, which of the following is the correct null 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) H0:β0=β1=β2=β3=β4=β5=β6=0
b) H0:β1=β2=β3=β4=β5=β6=0
c) H0:β0=β1=β2=β3=β4=β5=β6
d) H0:β1=β2=β3=β4=β5=β6
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