Correlation Practice

Correlation Practice

Assessment

Flashcard

Mathematics

8th 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 does a positive correlation indicate?

Back

A positive correlation indicates that as one variable increases, the other variable also increases. For example, the relationship between the number of hours studied and exam scores is often positively correlated.

3.

FLASHCARD QUESTION

Front

What does a negative correlation indicate?

Back

A negative correlation indicates that as one variable increases, the other variable decreases. For example, the relationship between the amount of time spent watching TV and grades in school may be negatively correlated.

4.

FLASHCARD QUESTION

Front

What is the 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.

5.

FLASHCARD QUESTION

Front

What is an example of a positive correlation?

Back

An example of a positive correlation is the relationship between temperature and ice cream sales; as the temperature increases, ice cream sales tend to increase.

6.

FLASHCARD QUESTION

Front

What is an example of a negative correlation?

Back

An example of a negative correlation is the relationship between the amount of exercise and body weight; as exercise increases, body weight tends to decrease.

7.

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. For example, the number of hours spent playing video games and the amount of rainfall in a city are likely to have no correlation.

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