The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. What is the best predicted value for y given x = 10? Assume that the variables x and y have a
Significant correlation. $$\begin{array} { l | c | c | c | c | c | c | c | c | c | }
\text { Number of absences, } x & 0 & 3 & 6 & 4 & 9 & 2 & 15 & 8 & 5 \
\hline \text { Final grade, } y & 98 & 86 & 80 & 82 & 71 & 92 & 55 & 76 & 82
\end{array}$$
A)69
B)70
C)71
D)68

Question

The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. What is the best predicted value for y given x = 10? Assume that the variables x and y have a
Significant correlation. $$\begin{array} { l | c | c | c | c | c | c | c | c | c | } 
\text { Number of absences, } x & 0 & 3 & 6 & 4 & 9 & 2 & 15 & 8 & 5 \
\hline \text { Final grade, } y & 98 & 86 & 80 & 82 & 71 & 92 & 55 & 76 & 82
\end{array}$$
A)69
B)70
C)71
D)68

Quizplus · Accepted Answer

To predict the value of $y$ given $x = 10$, we can observe the trend in the data. As the number of absences increases, the final grade tends to decrease, indicating a negative correlation. For $x = 9$, $y = 71$, and for $x = 15$, $y = 55$. Given that $x = 10$ falls between these two points, but closer to $x = 9$, a reasonable estimate for $y$ would be slightly less than 71, making 69 the best predicted value among the given options.

The Data Below Are the Number of Absences and the Final