Significance of correlation in statistics

Correlation quantifies the degree and direction to which two variables are related. does not fit a line through data points. The sign (+, -) of correlation coefficient indicates association. magnitude strength association, e.g. A r = - 0.8 suggests strong, negative association (reverse trend) between variables, whereas 0.4 suggest weak, positive close zero no linear continuous variables. Linear regression finds best that predicts dependent variable from independent variable. decision calls is an important matter in regression, as it'll get different best-fit if you swap two. same spite both those lines have value for R2. goodness with R2, put into matrix square will equal R2 regression. effect variable(s) variable, where each