Bivariate statistical measures regression and correlation

Bivariate statistical measures regression and correlation

1. Dispersion diagram:

2. limited measure

3. Regression

   • Explains the behavior of a variable and predicts the value of one variable based on the given values of the other.

4. covariance

   • measures changes with respect to the average level of each variable, tells us if the relationship between two variables is direct or inverse

5. multiple regression

   • is an extension of linear regression and can be extended to use multiple independent variables

6. simple linear regression

   • They are assumed to be a chance relationship of the variable X (cause) towards a variable Y (effects), Study the changes in a variable.

7. Pearson's coefficient

   • normalizes the covariance with a measure of spread for X and Y, if the points have a tendency to line up

8. Correlation

   • corresponds to the relationship between two variables or groups of techniques to measure the associations between 2 variables that are related a change in one is reflected in the other

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