Regression analysis is a statistical technique for studying linear relationships.
Y is the dependent variable , representing a quantity that varies from individual to individual throughout the population, and is the primary focus of interest. These estimates are made by finding values for the coefficients that make the average residual 0, and the standard deviation of the residual term as small as possible. In order to predict the value of the dependent variable for individuals for whom some information concerning the explanatory variables is available, or in order to estimate the effect of some explanatory variable on the dependent variable. Age - 54.27 Make . If our goal is not to make a prediction for an individual, but rather to estimate the mean value of the dependent variable across a large pool of similar individuals, we use the standard error of the estimated mean instead when computing confidence intervals.