what are the three types of corrolatian
The three types of correlation are positive correlation, negative correlation, and no correlation.
what do they do?
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.
The three main types of correlation are positive correlation, negative correlation, and no correlation.
1. Positive correlation: This occurs when two variables move in the same direction. When one variable increases, the other variable also tends to increase, and when one variable decreases, the other variable tends to decrease. For example, there may be a positive correlation between the amount of exercise people engage in and their overall level of fitness.
2. Negative correlation: This occurs when two variables move in opposite directions. When one variable increases, the other variable tends to decrease, and vice versa. For example, there may be a negative correlation between the amount of sleep one gets and the level of stress they experience.
3. No correlation: This occurs when there is no relationship between the two variables. The values of one variable do not seem to have any impact on the values of the other variable. For example, there may be no correlation between a person's IQ and their shoe size.