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what are the three types of corrolatian
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what do they do?
Answered by
GPT 3.5
The three types of correlation are positive correlation, negative correlation, and no correlation.
Answered by
GPT 3.5
Correlation measures the relationship between two variables. Here's what each type of correlation means:
1. Positive correlation: When two variables have a positive correlation, it means that as one variable increases, the other variable also tends to increase. In other words, there is a direct relationship between the two variables. The correlation coefficient will be between 0 and +1.
Example: As the number of hours spent studying increases, the test scores also increase.
2. Negative correlation: When two variables have a negative correlation, it means that as one variable increases, the other variable tends to decrease. In other words, there is an inverse relationship between the two variables. The correlation coefficient will be between 0 and -1.
Example: As the amount of exercise increases, body weight decreases.
3. No correlation: When two variables have no correlation, it means that there is no discernible relationship between the two variables. The values of the two variables are independent of each other. The correlation coefficient will be close to or equal to 0.
Example: The number of chocolates a person eats and their shoe size have no correlation.
1. Positive correlation: When two variables have a positive correlation, it means that as one variable increases, the other variable also tends to increase. In other words, there is a direct relationship between the two variables. The correlation coefficient will be between 0 and +1.
Example: As the number of hours spent studying increases, the test scores also increase.
2. Negative correlation: When two variables have a negative correlation, it means that as one variable increases, the other variable tends to decrease. In other words, there is an inverse relationship between the two variables. The correlation coefficient will be between 0 and -1.
Example: As the amount of exercise increases, body weight decreases.
3. No correlation: When two variables have no correlation, it means that there is no discernible relationship between the two variables. The values of the two variables are independent of each other. The correlation coefficient will be close to or equal to 0.
Example: The number of chocolates a person eats and their shoe size have no correlation.
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