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match each correlation coefficient to the appropriate scatter plot. the…

Question

match each correlation coefficient to the appropriate scatter plot. the line in each scatter plot is the least squares regression line.
r = 0.3
r = 0.8

Explanation:

Step1: Recall Correlation Coefficient Meaning

The correlation coefficient \( r \) measures the strength and direction of a linear relationship between two variables. A value closer to \( 1 \) (or \( -1 \)) indicates a stronger linear relationship, while a value closer to \( 0 \) indicates a weaker linear relationship.

Step2: Analyze Scatter Plot Clustering

  • For \( r = 0.3 \): This is a weak positive correlation. The data points should be more spread out around the regression line.
  • For \( r = 0.8 \): This is a strong positive correlation. The data points should be closer to the regression line.

Looking at the two scatter plots:

  • The left scatter plot has points closer to the regression line, indicating a stronger relationship (so it matches \( r = 0.8 \)).
  • The right scatter plot has points more spread out around the regression line, indicating a weaker relationship (so it matches \( r = 0.3 \)). Wait, no—wait, actually, wait: Wait, \( 0.8 \) is stronger than \( 0.3 \). So the plot with points closer to the line is \( r = 0.8 \), and the one with more spread is \( r = 0.3 \). Wait, let's recheck:

Wait, the left plot: points are more tightly clustered around the line. So left plot: \( r = 0.8 \); right plot: \( r = 0.3 \)? Wait, no, maybe I mixed up. Wait, the left plot's points are closer to the line, so that's a stronger correlation (higher \( r \)), so left is \( r = 0.8 \), right is \( r = 0.3 \)? Wait, no, wait the right plot: let's see the vertical spread. Wait, maybe I had it reversed. Wait, no: the correlation coefficient's magnitude (absolute value) tells the strength. So \( |r| = 0.8 \) is stronger than \( |r| = 0.3 \). So the scatter plot with points closer to the regression line is the one with \( r = 0.8 \), and the one with points more spread out is \( r = 0.3 \).

So:

  • Left scatter plot (points closer to line): \( r = 0.8 \)
  • Right scatter plot (points more spread): \( r = 0.3 \)

Wait, but let's confirm. Let's look at the two plots:

First plot (left): points are clustered more closely around the line. So that's a stronger linear relationship, so \( r = 0.8 \).

Second plot (right): points are more dispersed around the line, so weaker linear relationship, so \( r = 0.3 \).

Answer:

  • \( r = 0.3 \) matches the right scatter plot.
  • \( r = 0.8 \) matches the left scatter plot.

(Assuming the left plot is the first one, right is the second. So:

Left scatter plot: \( r = 0.8 \)

Right scatter plot: \( r = 0.3 \)