Question

which characteristics describe the scatterplot? check all that apply.
A. negative correlation
B. positive correlation
C. strong association
D. weak association
E. linear
F. nonlinear

Answer 1

The characteristics described in the scatterplot are B. positive correlation D. weak association E. linear.

What are the condition for Correlation?

1. Negative Correlation:

The correlation is achieved when either or both values of x and y on the graph decrease.

2. Positive Correlation

The correlation is achieved when the slope (value) of both x and y increases.

3. Strong Correlation

This is achieved when there's uniformity in slopes x and y.

4. Weak Correlation

This is achieved when there are no uniforms in slopes x and y

5. Linear

Linearity is achieved when the data pattern is linear (straight)

6. Nonlinear

Non-Linearity refers to whether a data pattern is curved.

We can see that the characteristics described in the scatterplot are B. positive correlation D. weak association E. linear.

Learn more about correlation coefficient here:

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