PSYC30013 Lecture 5: PSYC30013 Lecture 5

• School: University of Melbourne
• Department: Psychology
• Course: PSYC30013
• Professor: Paul

Document Summary

We focus on two features of the linear regression model: 1) the strength of overall prediction of the model (i. e. , of all ivs considered as a whole); and. 2) the strength of prediction of each individual iv considered separately within the overall model. Strong prediction in the overall model does not necessarily imply that each individual. One good individual iv does not necessarily imply that the model provides strong prediction overall. For a one unit change in an independent variable. 1) amount of expected change determined by absolute size of regression coefficient. If a regression coefficient is positive in value, then a one unit. 2) direction of expected change determined by both: Sign of the regression coefficient, and. Whether change is an increase or decrease in iv. Increase in scores on iv expected increase on the dv. Decrease in scores on iv expected decrease on the dv. Increase in scores on iv expected decrease on the dv.