One useful aspect of regression is that it can divide the variation in Y into two parts: the variation of the predicted scores and the variation of the errors of prediction. The variation of Y is call...One useful aspect of regression is that it can divide the variation in Y into two parts: the variation of the predicted scores and the variation of the errors of prediction. The variation of Y is called the sum of squares Y and is defined as the sum of the squared deviations of Y from the mean of Y.
How well a straight line fits a data set is measured by the sum of the squared errors. The least squares regression line is the line that best fits the data. Its slope and y-intercept are computed fro...How well a straight line fits a data set is measured by the sum of the squared errors. The least squares regression line is the line that best fits the data. Its slope and y-intercept are computed from the data using formulas. The slope of the least squares regression line estimates the size and direction of the mean change in the dependent variable y when the independent variable x is increased by one unit.
One useful aspect of regression is that it can divide the variation in Y into two parts: the variation of the predicted scores and the variation of the errors of prediction. The variation of Y is call...One useful aspect of regression is that it can divide the variation in Y into two parts: the variation of the predicted scores and the variation of the errors of prediction. The variation of Y is called the sum of squares Y and is defined as the sum of the squared deviations of Y from the mean of Y.
