# You will have to change this first line of course
Data <- read.table("ozone.txt", header=T)
x <- Data$Temperature; y <- Data$Ozone^(1/3)
xbar <- mean(x); ybar <- mean(y);
b1 <- sum( (x-xbar)*y ) / sum( (x-xbar)^2 )
b0 ybar - b1 * xbar
The Behavioral Risk Factor Surveillance System (BRFSS) - 2013
From BRFSS Overview
The Behavioral Risk Factor Surveillance System (BRFSS) is a collaborative project between all of the
states in the United States (US) and participating US territo
Center for Career Education 2016 Graduate
Type to search.
Computer Science and Statistics
For more than 160 years, Anheuser-Busch an
title: "Example Exploratory Data Analysis"
This is an unmarked optional tutorial to show the kind of thinking that goes into
an exploratory data ana
STAT GR5206 Midterm Review
You should understand how to use all R functions covered in class, lab, or homework for the
computer portion of the exam. Since youll be working in R, you can use ?function to get
information about the arguments the functions ta
Homework is due Wednesday, October 19 at 8:40am. You need to upload it to canvas
Read Sections 3.7-3.9 and 4.1-4.7 of DeGroot and Schervish.
You may find solutions to some problems in various sources, in
title: "Exploring the BRFSS data"
# Load packages
`cfw_r load-packages, message = FALSE
# Load data
Make sure your data and R Mark
Linear Regression Models
Statistics GR5205 Fall 2016
By Tuesday, September 13, read Appendix A and Chapter 1 of Applied Linear Regression Models
by Kutner, Nachtsheim and Neter (KNN).
For Tuesday, September 20, read Chapter 2 of KNN.
Statistics 4205/5205, Fall 2016: Transformations in simple linear regression
Transforming the predictor
We first consider transforming the predictor X in a simple linear regression. The mean function we
E(Y |X = x) = 0 + 1 (x, )
with constant varia
Lecture 1: Introduction to R
STAT GR5206 Statistical Computing & Introduction to Data Science
September 9, 2016
Lecture 1: Intro to R
September 9, 2016
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