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 :

To predict the [tex]\( y \)[/tex]-value for an [tex]\( x \)[/tex]-value of 200 using the quadratic regression equation [tex]\( y = 0.008x^2 + 0.518x + 131.886 \)[/tex], you need to substitute the [tex]\( x \)[/tex]-value into the equation. Here's how you can do it step-by-step:

1. Identify the quadratic regression equation:
The equation provided is [tex]\( y = 0.008x^2 + 0.518x + 131.886 \)[/tex].

2. Substitute [tex]\( x = 200 \)[/tex] into the equation:
Replace [tex]\( x \)[/tex] with 200 in the equation. So it becomes:
[tex]\[
y = 0.008(200)^2 + 0.518(200) + 131.886
\][/tex]

3. Calculate each term separately:
- First, calculate [tex]\( 0.008 \times (200)^2 \)[/tex]:
[tex]\( (200)^2 = 40000 \)[/tex]
[tex]\( 0.008 \times 40000 = 320 \)[/tex]

- Then, calculate [tex]\( 0.518 \times 200 \)[/tex]:
[tex]\( 0.518 \times 200 = 103.6 \)[/tex]

4. Add these results to the constant term (131.886):
[tex]\[
y = 320 + 103.6 + 131.886
\][/tex]

5. Calculate the final result:
Add the numbers together:
[tex]\( y = 555.486 \)[/tex]

Based on these calculations, the predicted [tex]\( y \)[/tex]-value when [tex]\( x = 200 \)[/tex] is approximately 555.5, which matches option d.

Therefore, the answer is:
d. [tex]\( y = 555.5 \)[/tex]

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