PSY201H1 Chapter Notes -Standard Deviation, Homoscedasticity, Scatter Plot
Document Summary
Chapter 7: linear regression regression and correlation are closely related. + both involve the relationship between two variables. + both utilize the same set of basic data: paired scores taken from the same/matched subjects correlation concerned with magnitude and direction of the relationships. + regression focuses on using the relationship for prediction prediction easy when relationship is perfect. + if perfect, all the points fall on a straight line and all we need to do is derive the equation of the straight line and use it for prediction. + perfect relationship = perfect prediction all predicted values are exactly equal to the observed values and prediction error equals zero. + situation more complicated when relationship is imperfect regression: a topic that considers using the relationship between two/more variables for prediction regression line: a best fitting line used for prediction. Prediction and imperfect relationships: ie: in a given scatter plot of data,
