relationships among variables. • It helps one understand how the typical value of the dependant variable changes when any of the independent variables is varied, while the other independent variables are fixed What exactly is Regression Analysis?
Lesser the value, greater the statistical significance of the variable. Probability that the variable is not relevant in explaining the independent variable • T-value: The higher the t-value, the higher the confidence in rejecting the null hypothesis. It is the difference between population’s mean and the null mean • F-value: The higher the test value. The farthest the distribution is from the null hypothesis distribution. It is more like a scaled out version of a T-value because it can take in more than 1 variable at a time for testing EXPLAINABILITY (GOOD AND UNTOLD)