High School

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Make a scatter plot of the data below.

[tex]
\[
\begin{tabular}{|l|l|}
\hline
$x$ & $y$ \\
\hline
25 & 150 \\
\hline
50 & 178 \\
\hline
75 & 216 \\
\hline
100 & 265 \\
\hline
125 & 323 \\
\hline
150 & 392 \\
\hline
175 & 470.4 \\
\hline
\end{tabular}
\]
[/tex]

Using the quadratic regression equation [tex]$y=0.008x^2 + 0.518x + 131.886$[/tex], predict what the [tex]$y$[/tex]-value will be if the [tex]$x$[/tex]-value is 200.

A. [tex]$y=83.5$[/tex]
B. [tex]$y=346.9$[/tex]
C. [tex]$y=238.1$[/tex]
D. [tex]$y=555.5$[/tex]

Answer :

We are given the quadratic regression equation

[tex]$$
y = 0.008x^2 + 0.518x + 131.886.
$$[/tex]

We need to predict the [tex]$y$[/tex]-value when [tex]$x = 200$[/tex]. Follow these steps:

1. Begin by substituting [tex]$x = 200$[/tex] into the equation:

[tex]$$
y = 0.008(200)^2 + 0.518(200) + 131.886.
$$[/tex]

2. Calculate the quadratic term:

[tex]$$
0.008(200)^2 = 0.008 \times 40000 = 320.
$$[/tex]

3. Calculate the linear term:

[tex]$$
0.518(200) = 103.6.
$$[/tex]

4. The constant term remains as it is:

[tex]$$
131.886.
$$[/tex]

5. Finally, add all these results together:

[tex]$$
y = 320 + 103.6 + 131.886 = 555.486.
$$[/tex]

Rounding to one decimal place, we have [tex]$y \approx 555.5$[/tex].

Thus, the correct answer is [tex]$\boxed{555.5}$[/tex], which corresponds to option d.

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Rewritten by : Barada