AI Math Solver
Resources
Questions
Pricing
Login
Register
Home
>
Questions
>
Match Scatter Plots to Correlation Coefficients Statistics Practice Problem
Statistics
High School Grade 11/12
Question Content
Match each scatter plot graph (a, b, c, d, e, f) to the corresponding correlation coefficient: R = -0.85, R = -0.3, R = 0.3, R = -1, R = 0.85, R = 1.
Correct Answer
Graph (a) → R = 1; Graph (b) → R = 0.85; Graph (c) → R = 0.3; Graph (d) → R = -1; Graph (e) → R = -0.85; Graph (f) → R = -0.3
Detailed Solution Steps
1
Step 1: Recall that the correlation coefficient R ranges from -1 to 1. A value of 1 means a perfect positive linear relationship, -1 means a perfect negative linear relationship, values close to 0 mean no linear relationship, and values between 0 and 1/-1 mean a weak or strong positive/negative linear relationship.
2
Step 2: Identify perfect linear relationships: Graph (a) has points in a perfect positive straight line, so it matches R = 1. Graph (d) has points in a perfect negative straight line, so it matches R = -1.
3
Step 3: Identify strong positive/negative relationships: Graph (b) has a strong positive linear trend (points clustered tightly around a positive line), so it matches R = 0.85. Graph (e) has a strong negative linear trend (points clustered tightly around a negative line), so it matches R = -0.85.
4
Step 4: Identify weak positive/negative relationships: Graph (c) has a weak positive linear trend (points loosely scattered around a positive line), so it matches R = 0.3. Graph (f) has a weak negative linear trend (points loosely scattered around a negative line), so it matches R = -0.3.
Knowledge Points Involved
1
Correlation Coefficient (R) Definition
The correlation coefficient R is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables. It ranges from -1 to 1, where 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship.
2
Perfect Linear Correlation
A correlation coefficient of R = 1 means all data points lie exactly on a straight line with a positive slope (perfect positive correlation). A value of R = -1 means all data points lie exactly on a straight line with a negative slope (perfect negative correlation). This is the strongest possible linear relationship.
3
Strong Linear Correlation
Correlation coefficients close to 1 or -1 (e.g., 0.85, -0.85) indicate a strong linear relationship. Data points are tightly clustered around a straight line, showing a clear positive or negative trend.
4
Weak Linear Correlation
Correlation coefficients close to 0 (e.g., 0.3, -0.3) indicate a weak linear relationship. Data points are loosely scattered around a straight line, with only a faint positive or negative trend visible.
5
Scatter Plot Interpretation
Scatter plots visualize the relationship between two variables. The direction of the cluster of points (upward/downward) shows positive/negative correlation, and the tightness of the cluster shows the strength of the correlation.
Loading solution...