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MGT 218 : Chapter 13 : Simple linear Regression

by: Winn

MGT 218 : Chapter 13 : Simple linear Regression MGT 218

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First part of Final Exam
Introductory Statistics
Class Notes
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This 4 page Class Notes was uploaded by Winn on Friday April 15, 2016. The Class Notes belongs to MGT 218 at Marshall University taught by in Spring 2016. Since its upload, it has received 10 views. For similar materials see Introductory Statistics in Business at Marshall University.

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Date Created: 04/15/16
Chapter 13 : Simple linear regression Book : Introductory Statistics , Prem S.Mann 8e Explaining Important More Important Learning objectives : 13.1 Simple Linear Regression 13.2 Standard deviation of errors and coefficient of Determination 13.3 Inferences about B 13.4 Linear Correlation 1) Simple Linear Regression : 13.1.1 Simple Regression : is a mathematical equation that describes the relationship between two or more variables. A simple regression model includes only two variables : one independent and one dependent. The dependent variable is the one being explained, and the independent variable is the one that explains the variation in the dependent variable. 13.1.2 Linear Regression : Linear Regression : A (simple) regression model that gives a straight-line relationship between two variables is called a linear regression model. 13.1.3 Simple Linear Regression Model : a) Missing or omitted variables : the random error term is included to capture the effect of all those missing or omitted variables that have not been included in the model. b) Random variation 13.1.4 Scatter Diagram : a plot of paired observations is called a scatter diagram. 13.1.5 Least Squares Regression Line :


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