The table compares [tex]\( x \)[/tex], the number of minutes of television Sam watched each day, to [tex]\( y \)[/tex], the number of minutes she spent exercising. The function [tex]\( y = -0.78x + 95 \)[/tex] models the data in the table.

\begin{tabular}{|c|c|}
\hline
\multicolumn{2}{|c|}{Recreational Time} \\
\hline
Minutes of Television Viewing, [tex]\( x \)[/tex] & Minutes of Exercising, [tex]\( y \)[/tex] \\
\hline
45 & 60 \\
\hline
65 & 46 \\
\hline
120 & 5 \\
\hline
22 & 80 \\
\hline
80 & 25 \\
\hline
\end{tabular}

Which is the best prediction for the number of minutes of exercising Sam will do if she spends 30 minutes watching television that day?

A. 45 minutes
B. 72 minutes
C. 83 minutes
D. 118 minutes



Answer :

To determine the best prediction for the number of minutes Sam will spend exercising if she spends 30 minutes watching television, we'll use the given function [tex]\( y = -0.78x + 95 \)[/tex], where [tex]\( x \)[/tex] represents the number of minutes of television viewing and [tex]\( y \)[/tex] represents the number of minutes of exercising.

Here's the step-by-step solution:

1. Identify the variables:
- [tex]\( x = 30 \)[/tex] minutes (the number of minutes Sam watches television).

2. Substitute the value of [tex]\( x \)[/tex] into the function:
[tex]\[ y = -0.78(30) + 95 \][/tex]

3. Calculate the value:
- First, calculate [tex]\( -0.78 \times 30 \)[/tex]:
[tex]\[ -0.78 \times 30 = -23.4 \][/tex]
- Next, add the result to 95:
[tex]\[ y = -23.4 + 95 \][/tex]

4. Find the final value:
[tex]\[ y = 71.6 \][/tex]

Thus, the best prediction for the number of minutes Sam will spend exercising if she spends 30 minutes watching television is 71.6 minutes.

Since the given options are 45, 72, 83, and 118 minutes, the closest and best prediction is:

72 minutes.