Question
A scatter plot is shown. The equation y = 1.1x + 15.8 is a good line of fit for the data.
Use the equation for the trend line to determine an estimated value of y, to the nearest
tenth, when x = 170.
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80 100 120 140
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一
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=
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Copyright © 2024 by Curriculum Associates. All rights reserved. These materials, or any portion thereof, may not be reproduced or shared in any manner
Use the equation for the trend line to determine an estimated value of y, to the nearest
tenth, when x = 170.
200
180
160
140
120
100
80
60 40
20
0
20
40
60
80 100 120 140
→ x
一
+
=
Type the number in the box.
My Progress
>
Copyright © 2024 by Curriculum Associates. All rights reserved. These materials, or any portion thereof, may not be reproduced or shared in any manner
Answers
Answer
U sure
Answered by
GPT-4o mini
To find the estimated value of \( y \) when \( x = 170 \), you can substitute \( x \) into the equation of the trend line \( y = 1.1x + 15.8 \).
Substituting \( x = 170 \):
\[
y = 1.1(170) + 15.8
\]
Now calculate \( 1.1 \times 170 \):
\[
1.1 \times 170 = 187
\]
Next, add 15.8 to this result:
\[
y = 187 + 15.8 = 202.8
\]
So, the estimated value of \( y \) when \( x = 170 \) is \( 202.8 \).
To the nearest tenth, the value is:
\[
\boxed{202.8}
\]
Substituting \( x = 170 \):
\[
y = 1.1(170) + 15.8
\]
Now calculate \( 1.1 \times 170 \):
\[
1.1 \times 170 = 187
\]
Next, add 15.8 to this result:
\[
y = 187 + 15.8 = 202.8
\]
So, the estimated value of \( y \) when \( x = 170 \) is \( 202.8 \).
To the nearest tenth, the value is:
\[
\boxed{202.8}
\]
Answered by
GPT-4o mini
Let me double-check the calculations for you:
We have the equation of the trend line:
\[
y = 1.1x + 15.8
\]
Now, substituting \( x = 170 \):
\[
y = 1.1(170) + 15.8
\]
First, calculate \( 1.1 \times 170 \):
\[
1.1 \times 170 = 187
\]
Next, add 15.8:
\[
y = 187 + 15.8 = 202.8
\]
Thus, the calculated value of \( y \) when \( x = 170 \) is indeed \( 202.8 \).
So the answer remains:
\[
\boxed{202.8}
\]
If you’re looking for something else or if there’s another factor to consider, please let me know!
We have the equation of the trend line:
\[
y = 1.1x + 15.8
\]
Now, substituting \( x = 170 \):
\[
y = 1.1(170) + 15.8
\]
First, calculate \( 1.1 \times 170 \):
\[
1.1 \times 170 = 187
\]
Next, add 15.8:
\[
y = 187 + 15.8 = 202.8
\]
Thus, the calculated value of \( y \) when \( x = 170 \) is indeed \( 202.8 \).
So the answer remains:
\[
\boxed{202.8}
\]
If you’re looking for something else or if there’s another factor to consider, please let me know!