PSY-PC 2120 Lecture Notes - Lecture 1: Tachykinin Receptor 1, Linear Combination, Statistical Process Control

• School: Vanderbilt University
• Department: Psychology and Human Development
• Course: PSY-PC 2120
• Professor: Professor Sonya Sterba

Document Summary

Linear transformation of x1 and y will not alter correlation because standardized scores are not altered by linear transformation of raw scores. Thought to apply to situations where x1 and y r continuous variables that are interval or ratio scales. Measure of linear association not independent of the scales of x1 and y. Slr represents y as a linear function of x1. Residual is the vertical deviation of their point from the line. Finding best-fitting line entails finding coefficients for the linear equation that makes the residuals small thus providing the best approximation of the observed y values. We need to minimize the sum of all of the residuals squared which will become smaller as the selected equation and the corresponding line approximates the linear xy relationship better. Interpret slope: for an increase of 1 x in measurement, the linear regression model predicts _____ Interpret intercept: linear regression models predicts that y will be __ when x is 0.