×

### Let's log you in.

or

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

×

or

by: Cullen Conn

37

0

3

# Applied Linear Regression 22S 152

Cullen Conn
UI
GPA 3.72

Rhonda DeCook

These notes were just uploaded, and will be ready to view shortly.

Either way, we'll remind you when they're ready :)

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

×
Unlock Preview

COURSE
PROF.
Rhonda DeCook
TYPE
Study Guide
PAGES
3
WORDS
KARMA
50 ?

## Popular in Natural Sciences and Mathematics

This 3 page Study Guide was uploaded by Cullen Conn on Friday October 23, 2015. The Study Guide belongs to 22S 152 at University of Iowa taught by Rhonda DeCook in Fall. Since its upload, it has received 37 views. For similar materials see /class/228074/22s-152-university-of-iowa in Natural Sciences and Mathematics at University of Iowa.

×

## Reviews for Applied 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: 10/23/15
22s152 Applied Linear Regression Final Exam oThursday December 18th 945am 1145arn in this classroom a It will be comprehensive oYou can use both sides of two 85 X11 pieces of paper for notes 4 single sides a What to look for If given a description of the data and how it was collected be able choose the most appropriate type of analysis from a list Know how to interpret R output and plots and read results and answer questions There will also be some short answer oThe three rnidterrns will be a good study tool 0 Topics since Exam 3 1 Poisson Regression What type of data you might use it for Assumptions 2 Weighted least squares Recognize when you would use it 3 AR1 Recognize when you would use it Recognize time correlation in resid plots Lag plot Durbin Watson test 85 output R output from t of AR1 0 Topics from earlier 1 Multiple regression IGBC rPOOND Simple linear regression Dummy variables Multicollinearity in multiple regression One way ANOVA T wo way ANOVA Diagostics l 85 ll outliers leverage studentized residuals in uence checking assumptions 8 Model selection Logistic regression

×

×

### 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."

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."

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