CRIM 320 Lecture Notes - Mahalanobis Distance, Scatter Plot, Analysis Of Variance

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Research hypothesis: h1: older offenders have had more opportunities to offend and, therefore, have committed more crimes in adulthood. Null hypothesis: h0: age is not related to the number of crimes committed by offenders in adulthood. The change in x associated with one-unit of change in y: e=residuals. Represents the prediction error or the gap between the predicted value of y and the actual value of y. The regression line uses y to best fit the data at each value of x: the ordinary least squares regression . Residual variance: gap between regression line and each y. Regression variance/residual variance how well the regression line explains all observations. The bigger the slope, the stronger the relationship. Improve the prediction of y by using multiple (several) independent variables (xi) Looking for the combination of weights for the iv (xi) to get predicted values of. Y as close as possible from the actual values of y.

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