New User Special Price Expires in

Let's log you in.

Sign in with Facebook


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


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Statistics May 2nd

by: Tyler espinoza

Statistics May 2nd BusAdm 210-401

Tyler espinoza
GPA 3.113

Preview These Notes for FREE

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

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

Sorry about last upload don't know what went wrong. Here are the correct notes for the Least Square Regression lecture
Introduction to Management Statistics
Payesteh Sayeed
Class Notes
Math, Statistics
25 ?




Popular in Introduction to Management Statistics

Popular in Business

This 2 page Class Notes was uploaded by Tyler espinoza on Wednesday May 4, 2016. The Class Notes belongs to BusAdm 210-401 at University of Wisconsin - Milwaukee taught by Payesteh Sayeed in Spring 2016. Since its upload, it has received 12 views. For similar materials see Introduction to Management Statistics in Business at University of Wisconsin - Milwaukee.


Reviews for Statistics May 2nd


Report this Material


What is Karma?


Karma is the currency of StudySoup.

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

Date Created: 05/04/16
Least Squares Regression Y=Response variable; X=Explanatory variable Most if not all will be used with a scatterplot Scatter plot review Shows relationship between two quantitative variables Interpret scatter Form: linear, curved, or no pattern Direction: positive or negative Strength: how closely do the points fit form The regression line A line that describes the response variable changes as explanatory variable X changes. Use regression line to find prediction of Y given X Least square idea Y=Observed; Y-ŷ=distance; ŷ=predicted so Regression X is minimal distance from Y Below is resulting Square Line Ŷ=Bo+B1X How To find Sy B1=r Sx r=correlation Sy=Standard Deviation of Response variable Sx= Standard deviation of Explanatory Bo=meany-b1*meanx mean y& mean X are sample means of Y and X Facts about LSR the distinction between explanatory and response variable is essential. The LSR always passes through the point (meanX, MeanY) R^2 in Regression Measures proportion of total variation Y 0<r^2<1 R2=r2, when we have more than 1 explanatory variable. R if you remember is the correlation between the two points. R^2=1 perfect fit, passes through all the points on the line. R^2=0 means no fit. Points scattered and no correlation Formal name called Coefficient of Determination R^2 is a measure of how successful the regression was in explaining the response. For example, if the correlation is .8245 we need to square that. It would mean that we were successful in explaining that 82% of regression Inference We want to extend our analysis to include infrences in order to get them we need to meet a few conditions 1.) Sample treated as an SRS from population 2.) Mean response µy has relationship with X 3.) µy=Bo+Bx 4.) Standard deviation is same for all of X 5.) Response y varies normally around population regression line. Estimate Parameters Population regression line as Bo+Bx. Bo+Bx are your parameters. Confidence Interval At level C Confidence Interval for slope B1; b1± t*SEb1 T* is critical value of t distance with df=n-2. That has area C between –t* and t* The margin of error is m=t* SEb1 S 2 SEb1= √Ʃ(X−MeanX)


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

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."

Jennifer McGill UCSF Med School

"Selling my MCAT study guides and notes has been a great source of side revenue while I'm in school. Some months I'm making over $500! Plus, it makes me happy knowing that I'm helping future med students with their MCAT."

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."

Parker Thompson 500 Startups

"It's a great way for students to improve their educational experience and it seemed like a product that everybody wants, so all the people participating are winning."

Become an Elite Notetaker and start selling your notes online!

Refund 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


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:

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

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.