Figure:
Suppose You Regress the Self-Reported Number of Cigarettes Smoked

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.
$\begin{array}{lc}\text { SUMMARY OUTPUT }\\\\\\\hline \text { Regression Statistier } & \\\hline \text { Multiple R } & 0.070494476 \\\text { R Square } & 0.004969471 \\\text { Adpasted R Square } & 0.001879314 \\\text { Standard Error } & 4.819403326 \\\text { Observations } & 970 \\\hline\end{array}$


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

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

$\text { Figure } 6.2$
-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

A) a statistically significant increase of 1.56 percent in cigarettes smoked per day.
B) a statistically insignificant increase of 1.56 percent in cigarettes smoked per day.
C) a statistically significant increase of 0.0156 cigarettes smoked per day.
D) a statistically insignificant increase of 0.0156 cigarettes smoked per day.