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Suppose You Regress the Self-Reported Number of Cigarettes Smoked

question 19

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Figure:
Suppose you regress the self-reported number of cigarettes smoked per day on Age,Family Size,and Years of Education and that you get the results in Figure 6.2.
 SUMMARY OUTPUT  Regression Statistier  Multiple R 0.070494476 R Square 0.004969471 Adpasted R Square 0.001879314 Standard Error 4.819403326 Observations 970\begin{array}{lc}\text { SUMMARY OUTPUT }\\\\\\\hline \text { Regression Statistier } & \\\hline \text { Multiple R } & 0.070494476 \\\text { R Square } & 0.004969471 \\\text { Adpasted R Square } & 0.001879314 \\\text { Standard Error } & 4.819403326 \\\text { Observations } & 970 \\\hline\end{array}


 ANOVA  df  SS  MS F Significance F Regression 3112.056601237.35220041.6081614420.185858614 Residual 96622436.9423723.22664841 Total 96922548.99897\begin{array}{lccccc} \text { ANOVA }\\\hline & \text { df } & \text { SS } & \text { MS } & F & \text { Significance } F \\\hline \text { Regression } & 3 & 112.0566012 & 37.3522004 & 1.608161442 & 0.185858614 \\\text { Residual } & 966 & 22436.94237 & 23.22664841 & & \\\text { Total } & 969 & 22548.99897 & & & \\\hline\end{array}

 Coefficients  Standard Error t Stat  P-value  Lower 9396 Upper 95% Intercept 4.0499209821.0421073413.8862800640.0001087392.0048658446.094976119 Age 0.0156269840.0103654971.5075961190.1319848780.0047145040.035968471 Family Sire 0.0930934630.0846023831.1003645520.2714474420.2591191030.072932177 Years of Education 0.0056420750.064745250.0871426850.9305761570.1214154760.132699626\begin{array}{lcccccc}\hline & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & \text { P-value } & \text { Lower } 9396 & \text { Upper } 95 \% \\\hline \text { Intercept } & 4.049920982 & 1.042107341 & 3.886280064 & 0.000108739 & 2.004865844 & 6.094976119 \\\text { Age } & 0.015626984 & 0.010365497 & 1.507596119 & 0.131984878 & -0.004714504 & 0.035968471 \\\text { Family Sire } & -0.093093463 & 0.084602383 & -1.100364552 & 0.271447442 & -0.259119103 & 0.072932177 \\\text { Years of Education } & 0.005642075 & 0.06474525 & 0.087142685 & 0.930576157 & -0.121415476 & 0.132699626 \\\hline\end{array}

 Figure 6.2\text { Figure } 6.2
-Based on the estimates in Figure 6.2,you should conclude that,holding all other independent variables constant,each additional year of age is estimated to be associated with


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