The relationship between a correlation matrix and multiple regression

Sample Answer

Relationship Between a Correlation Matrix and Multiple Regression

Correlation Matrix: A correlation matrix is a table that displays the correlation coefficients between many variables. Each cell in the matrix represents the correlation between a pair of variables. The correlation coefficient (most commonly Pearson's r) measures the strength and direction of a linear relationship between two continuous variables. Its value ranges from -1 to +1:

+1: Perfect positive linear correlation (as one variable increases, the other increases proportionally).

-1: Perfect negative linear correlation (as one variable increases, the other decreases proportionally).

0: No linear correlation.