SOCY 211 Lecture Notes - Analysis Of Variance, Scatter Plot, Dependent And Independent Variables

• School: Queen's University
• Department: Social Sci, Edu and Soc Work - Sociology
• Course: SOCY 211
• Professor: Carl Keane

Document Summary

How much extra do you expect to earn by spending an extra year in the. When we look at a scatter graph you try to impose a straight line that fits the pattern of the dots: called least squares line (ols - ordinary least squares regression) The least squares line is the line that minimizes the sum of the squared distances between the line and the dependent variable score of each case. Goal is to predict as accurately as possible. The distance is sometimes called the error or the residual. Regression equation: y = a + b (x) = the change in the dependent variable (y), for every one-unit change in the. Independent variable (x). (this is called the slope, or sometimes the. Steepness of the line. ) x = the score on the independent variable. Hypothetical regression equation for education (x) and income (y) a b.