McKenzie found the correlation coefficient on a set of data to be –0.90. Which term best describes the correlation?

Group of answer choices

Weak Positive

Weak Negative

Strong Negative

Strong Positive

The term that best describes a correlation coefficient of –0.90 is **Strong Negative**. 

A correlation coefficient near -1 indicates a strong negative relationship, meaning that as one variable increases, the other variable tends to decrease in a strongly predictable way.

Would you like more details on how correlation works or have any other questions?

Here are 5 related questions to explore:
1. What is the range of values for the correlation coefficient, and what do they indicate?
2. How do you interpret a correlation coefficient of 0?
3. What factors can affect the strength of a correlation?
4. Can a correlation be perfectly negative, and what would that mean?
5. How is correlation different from causation?

**Tip:** A correlation of -0.90 indicates a very strong negative relationship, but it doesn’t imply causation between the variables.

Learn how to interpret a correlation coefficient of –0.90, indicating a strong negative relationship between variables. This statistical concept is essential for understanding data trends. Suitable for students in Grades 10-12.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation