Instruction 12 $\text { Regression Statistics }$ -Referring to Instruction 12

Instruction 12.15
The following Microsoft Excel tables are obtained when 'Score received on an exam (measured in percentage points) ' (Y) is regressed on 'percentage attendance' (X) for 22 students in a Statistics for Business and Economics course.
$\text { Regression Statistics }$
$\begin{array}{|l|l|}\hline\text { MultipleR } & 0.142620229 \\\hline \text { R Square } & 0.02034053 \\\hline \begin{array}{l}\text { Adjusted R } \\\text { Square }\end{array} & -0.028642444 \\\hline \text { Standard Error } & 20.25979924 \\\hline \text { Observations } & 22\\\hline\end{array}$

$\begin{array}{|l|l|l|l|l|}\hline & \text { Coefficients } & \begin{array}{l}\text { Standard } \\\text { Error }\end{array} & t \text { Stat } & p \text {-value } \\\hline \text { Intercept } & 39.39027309 & 37.24347659 & 1.057642216 & 0.302826622 \\\hline \text { Attendance } & 0.340583573 & 0.52852452 & 0.644404489 & 0.526635689 \\\hline\end{array}$


-Referring to Instruction 12.15,which of the following statements is true?

A) 14.2% of the total variability in percentage attendance can be explained by score received.
B) 2% of the total variability in score received can be explained by percentage attendance.
C) 2% of the total variability in percentage attendance can be explained by score received.
D) 14.26% of the total variability in score received can be explained by percentage attendance.