The data below are the temperatures on randomly chosen days during a summer class and the number of absences on those days. What is the best predicted value for y given x = 84? Assume that the variables x and y
Have a significant correlation. $$\begin{array} { l | c | c | c | c | c | c | c | c | c | }
\text { Temperature, } \mathrm { x } & 72 & 85 & 91 & 90 & 88 & 98 & 75 & 100 & 80 \
\hline \text { Number of absences, } \mathrm { y } & 3 & 7 & 10 & 10 & 8 & 15 & 4 & 15 & 5
\end{array}$$
A)7
B)8
C)9
D)10

Question

The data below are the temperatures on randomly chosen days during a summer class and the number of absences on those days. What is the best predicted value for y given x = 84? Assume that the variables x and y
Have a significant correlation. $$\begin{array} { l | c | c | c | c | c | c | c | c | c | } 
\text { Temperature, } \mathrm { x } & 72 & 85 & 91 & 90 & 88 & 98 & 75 & 100 & 80 \
\hline \text { Number of absences, } \mathrm { y } & 3 & 7 & 10 & 10 & 8 & 15 & 4 & 15 & 5
\end{array}$$
A)7
B)8
C)9
D)10

Quizplus · Accepted Answer

The best predicted value for y given x = 84 can be estimated using the correlation between temperature and absences. Since 84 is close to 85, where the number of absences is 7, 7 is a reasonable prediction.

The Data Below Are the Temperatures on Randomly Chosen Days