BUS 336 Lecture 4: Regression-336

• School: Simon Fraser University
• Department: Business Administration
• Course: BUS 336
• Professor: Amir Azaron

Document Summary

Quantitative analysis for management, twelfth edition, by render, stair, hanna and hale. After completing this chapter, students will be able to: Identify variables and use them in a regression model. 1: develop simple linear regression equations from sample data and interpret the slope and intercept, compute the coefficient of determination and the coefficient of correlation and interpret their meanings. Interpret the f test in a linear regression model. 4: list the assumptions used in regression and use residual plots to identify problems. Introduction: regression analysis very valuable tool for a manager. Predict the value of one variable based on another variable: simple linear regression models have only two variables, multiple regression models have more than one independent variable. Introduction: variable to be predicted is called the dependent variable or response variable. Value depends on the value of the independent variable(s) Scatter diagram: scatter diagram or scatter plot often used to investigate the relationship between variables.