×

### Let's log you in.

or

Don't have a StudySoup account? Create one here!

×

or

by: Winn

10

1

4

# MGT 218 : Chapter 13 : Simple linear Regression MGT 218

Marketplace > Marshall University > Business > MGT 218 > MGT 218 Chapter 13 Simple linear Regression
Winn
Marshall
GPA 3.72

Get a free preview of these Notes, just enter your email below.

×
Unlock Preview

First part of Final Exam
COURSE
Introductory Statistics
PROF.
TYPE
Class Notes
PAGES
4
WORDS
CONCEPTS
Statistics
KARMA
25 ?

## Popular in Introductory Statistics

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.

×

## Reviews for MGT 218 : Chapter 13 : Simple linear Regression

×

×

### What is Karma?

#### You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

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 :

×

×

### BOOM! Enjoy Your Free Notes!

×

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

## Why people love StudySoup

Jim McGreen Ohio University

#### "Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Amaris Trozzo George Washington University

#### "I made \$350 in just two days after posting my first study guide."

Steve Martinelli UC Los Angeles

Forbes

#### "Their 'Elite Notetakers' are making over \$1,200/month in sales by creating high quality content that helps their classmates in a time of need."

Become an Elite Notetaker and start selling your notes online!
×

### Refund Policy

#### STUDYSOUP CANCELLATION POLICY

All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email support@studysoup.com

#### STUDYSOUP REFUND POLICY

StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here: support@studysoup.com

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to support@studysoup.com