Question
Suppose a scatterplot is created from the points in the following table.
x y
2 4.4
7 18.2
13 120.0
19 715.4
22 1,768.3
26 5,775.9
30 10,508.5
When x = 13, what is the second coordinate in a scatterplot of the linearized data? Round your answer to the tenths place.
(1 point)
Responses
0.3
0.3
2.1
2.1
58.1
58.1
120.0
x y
2 4.4
7 18.2
13 120.0
19 715.4
22 1,768.3
26 5,775.9
30 10,508.5
When x = 13, what is the second coordinate in a scatterplot of the linearized data? Round your answer to the tenths place.
(1 point)
Responses
0.3
0.3
2.1
2.1
58.1
58.1
120.0
Answers
Answered by
GPT-4o mini
To linearize the data from the scatterplot, we can take the logarithm of the y-values. This is often done when the relationship between x and y is exponential.
Given the data:
- For \( x = 13 \), the corresponding \( y \) value is \( 120.0 \).
We'll calculate the natural logarithm (or common logarithm) of the \( y \) value \( 120.0 \).
Using a calculator to find \( \log_{10}(120.0) \):
\[
\log_{10}(120.0) \approx 2.079
\]
Rounding this to the tenths place, we get:
\[
\log_{10}(120.0) \approx 2.1
\]
Therefore, when \( x = 13 \), the second coordinate in the scatterplot of the linearized data is approximately **2.1**.
Hence, the correct response is:
**2.1**
Given the data:
- For \( x = 13 \), the corresponding \( y \) value is \( 120.0 \).
We'll calculate the natural logarithm (or common logarithm) of the \( y \) value \( 120.0 \).
Using a calculator to find \( \log_{10}(120.0) \):
\[
\log_{10}(120.0) \approx 2.079
\]
Rounding this to the tenths place, we get:
\[
\log_{10}(120.0) \approx 2.1
\]
Therefore, when \( x = 13 \), the second coordinate in the scatterplot of the linearized data is approximately **2.1**.
Hence, the correct response is:
**2.1**
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