Correlation and Correlation coefficient

Correlation and Correlation coefficient

Assessment

Flashcard

Mathematics

9th - 12th Grade

Hard

Created by

Wayground Content

FREE Resource

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15 questions

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1.

FLASHCARD QUESTION

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. A positive correlation means that as one variable increases, the other also increases, while a negative correlation means that as one variable increases, the other decreases.

2.

FLASHCARD QUESTION

Front

What is the correlation coefficient (r)?

Back

The correlation coefficient (r) is a numerical value that ranges from -1 to 1, indicating the strength and direction of a linear relationship between two variables. A value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.

3.

FLASHCARD QUESTION

Front

What does an r value of -0.9 indicate?

Back

An r value of -0.9 indicates a strong negative correlation between the two variables, meaning that as one variable increases, the other variable tends to decrease significantly.

4.

FLASHCARD QUESTION

Front

What does an r value of 0.92 indicate?

Back

An r value of 0.92 indicates a strong positive correlation between the two variables, meaning that as one variable increases, the other variable also tends to increase significantly.

5.

FLASHCARD QUESTION

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables, where each point represents an observation. It helps to visualize the relationship between the variables.

6.

FLASHCARD QUESTION

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatter plot. It minimizes the distance between the line and all the points in the plot.

7.

FLASHCARD QUESTION

Front

What does it mean if a scatter plot shows a negative correlation?

Back

If a scatter plot shows a negative correlation, it means that as one variable increases, the other variable tends to decrease.

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