A regression analysis between height y (in cm) and age x (in years) of 2 to 10 years old boys yielded the least squares line y-hat = 87 + 6.5x. This implies that by each additional year height is expected to: $\begin{array}{|l|l|}
\hline A&\text {increase by $ 93.5 \mathrm{~cm} $. }\
\hline B&\text {increase by $ 6.5 \mathrm{~cm} $. }\
\hline C&\text {increase by $ 87 \mathrm{~cm} $. }\
\hline D&\text {decrease by $ 6.5 \mathrm{~cm} $. }\
\hline
\end{array}$

Question

A regression analysis between height y (in cm) and age x (in years) of 2 to 10 years old boys yielded the least squares line y-hat = 87 + 6.5x. This implies that by each additional year height is expected to: $\begin{array}{|l|l|}
\hline A&\text {increase by $ 93.5 \mathrm{~cm} $. }\
\hline B&\text {increase by $ 6.5 \mathrm{~cm} $. }\
\hline C&\text {increase by $ 87 \mathrm{~cm} $. }\
\hline D&\text {decrease by $ 6.5 \mathrm{~cm} $. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of A regression analysis between height y (in cm) and age x (in years) of 2 to 10 years old boys yielded the least squares line y-hat = 87 + 6.5x. This implies that by each additional year height is expected to: $\begin{array}{|l|l|}
\hline A&\text {increase by $ 93.5 \mathrm{~cm} $. }\
\hline B&\text {increase by $ 6.5 \mathrm{~cm} $. }\
\hline C&\text {increase by $ 87 \mathrm{~cm} $. }\
\hline D&\text {decrease by $ 6.5 \mathrm{~cm} $. }\
\hline 
\end{array}$

A Regression Analysis Between Height Y (In Cm) and Age