Question

Can I have a made up data table and graph illustrating correlation and another data table and graph illustrating regression using the similar variables? I would like to know how they differ from one another using a similar topic.

Growth of birds vs food supply

Answer 1

Correlation is used to measure how things are related or it tells us the relationship between quantitative variables and categorical varibales.

It ranges from -1 to 1.

For the two series correlation can be calculated as follows

Example - A hypothetical example just for explianing the correlation

r=0.603023

REGRESSION

Regression analysis is used to determine the relationship between dependent variables usually called as Y and a serioes of other variables called as X.

Example - A hypothetical example just for explianing the regression

here the slope of regression is 0.1135.

The difference between correlation and regression is that correlation determines the relationship between two variables whereas the regression determines the relationship between dependent variable and a series of two or more independent variables.