PSYC 3000 Lecture Notes - Lecture 6: Dependent And Independent Variables, Regression Analysis, Standard Error

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Lise Paquet

Document Summary

Allows us to: provide a mathematical description (equation) of the linear relationship between x and y, provides an equation used to predict values of one variable (y) based on the values of another variable (x) Why: i want to find the equation of the straight line that best describes the linear relationship between intimacy and commitment in order to predict commitment from intimacy. What: two quantitative variables, intimacy and the commitment. Mathematical description (equation) of the linear relationship between x and y: line that best describes the linear relationship between y, the dependent variable and x, the independent variable, line whose equation is used for prediction. = predicted value of y b1 = slope of the line. X = value of independent variable/predictor b0 = intercept. Statistical method for finding the best prediction line. Best regression line will be closest to the actual data point. Best prediction line will minimize error in predicting y from x.