Correlation and Correlation Coefficient

Correlation and Correlation Coefficient

Assessment

Flashcard

Mathematics

8th - 9th Grade

Hard

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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 a correlation coefficient?

Back

The correlation coefficient 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 a correlation coefficient of 0.89 indicate?

Back

A correlation coefficient of 0.89 indicates a strong positive correlation between the two variables, meaning that as one variable increases, the other variable tends to also increase.

4.

FLASHCARD QUESTION

Front

What does a negative correlation mean?

Back

A negative correlation means that as one variable increases, the other variable tends to decrease. This indicates an inverse relationship between the two variables.

5.

FLASHCARD QUESTION

Front

What is a scatterplot?

Back

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

6.

FLASHCARD QUESTION

Front

What does it mean if there is no correlation between two variables?

Back

If there is no correlation between two variables, it means that changes in one variable do not predict changes in the other variable. The correlation coefficient would be close to 0.

7.

FLASHCARD QUESTION

Front

What is a strong positive correlation?

Back

A strong positive correlation occurs when the correlation coefficient is close to 1, indicating that as one variable increases, the other variable also increases significantly.

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