Linear Regression Models
Statistics W4315 Fall 2015
Assignment 1
Reading:
By Friday, September 11, read Appendix A and Chapter 1 of Applied Linear Regression Models by
Kutner, Nachtsheim and Neter (KN
Homework 1 (with solutions)
STAT W4315: Linear Regression Models
Simple Linear Regression Model
DUE: Wednesday, September, 23, 12:00 noon
(1) Please sign your home work with your name and UNI number.
Homework 3
STAT W4315: Linear Regression Models
Simple Linear Regression Model
DUE: Monday, October, 19, 12:00 noon
(1) Please sign your home work with your name and UNI number.
(2) Homework must be s
Homework 3 (with solutions)
STAT W4315: Linear Regression Models
Simple Linear Regression Model
DUE: Monday, October, 19, 12:00 noon
(1) Please sign your home work with your name and UNI number.
(2) H
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 1
Reading:
By Thursday, September 10, read Appendix A and Chapter 1 of Applied Linear Regression Models
by Kutner, Nachtsheim and Neter (
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 2
Reading:
By Thursday, September 17, read Appendix A and Chapters 12 of Applied Linear Regression
Models by Kutner, Nachtsheim and Neter
Linear Regression Models
Statistics W4315 Fall 2015
Homework 4
Solutions:
1. (Problem 3.13 in KNN) Continue with the Copier maintenance data.
> filename <- "~/Documents/Regression/Data/copier_maintena
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 4
Reading:
For Friday, October 9, read Chapter 5 of Applied Linear Regression Models by Kutner, Nachtsheim
and Neter (KNN).
For Friday, O
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 2
Reading:
By Friday, September 18, read Appendix A and Chapters 12 of Applied Linear Regression Models
by Kutner, Nachtsheim and Neter (
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 6
Reading:
For Thursday, November 12, read Sections 7.6 & 10.5 and 9.19.6 of Applied Linear Regression
Models by Kutner, Nachtsheim and N
Homework 1
STAT W4315: Linear Regression Models
Simple Linear Regression Model
DUE: Wednesday, September, 23, 12:00 noon
(1) Please sign your home work with your name and UNI number.
(2) Homework must
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 4
Reading:
For Thursday, October 15, read Chapter 5 of Applied Linear Regression Models by Kutner, Nachtsheim and Neter (KNN).
For Thursd
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 6
Solutions:
1. (Project 8.38 in KNN) Return to the SENIC Project data, and consider the regression relating
number of nurses (Y ) to ava
Homework 3 Solutions, Stat 4315, Fall 2009 Problems: 3.19, 3.20, 3.24, 4.10, 4.21, 4.25, 5.23, 5.29, 5.30
Problem 3.19 The plot against the fitted values is preferable. If there isn't a relationship b
Linear Regression Models
Statistics W4315 Fall 2015
Assignment 1
Reading:
By Thursday, September 10, read Appendix A and Chapter 1 of Applied Linear Regression Models
by Kutner, Nachtsheim and Neter (
Student Solutions Manual to accompany Applied Linear Regression Models Fourth Edition
Michael H. Kutner Emory University Christopher J. Nachtsheim University of Minnesota John Neter University of Geor
Linear Regression Models SAS Homework 6 14.9 a) Maximum likelihood estimate of 0: -10.3089 Maximum likelihood estimate of 1: 0.0189 Fitted response function: phat = exp(-10.3089+0.0189X)/(1+exp(-10.30
Diagnostics and Remedial Measures
Yang Feng
http:/www.stat.columbia.edu/~yangfeng
Yang Feng (Columbia University)
Diagnostics and Remedial Measures
http:/www.stat.columbia.edu/~yangfeng
/ 76
Remedial
Part
Simple Linear Regression
I
Chapter
1
Linear Regression with One Predictor Variable
Regression analysis is a statistical methodology that utilizes the relation between two or more quantitative var
Chapter
2
Yi = 0 + 1 X i + i (2.1)
Inferences in Regression and Correlation Analysis
In this chapter, we first take up inferences concerning the regression parameters 0 and 1 , considering both interv
Solutions to Homework 2, Stat 4315, Fall 2009
2.3 Two points, 1) Look at the p-value is there evidence that the slope is significantly different than zero? What does that say about the interpretation
Inference in multiple regression
Statistics W4315
Columbia University
Fall 2015
October 23, 2015
1
The multiple linear regression model
Let yi denote the response variable, and xi = (xi1, xi2, . . . ,
Prediction intervals; the analysis of variance
Statistics W4315
Columbia University
Fall 2015
September 25, 2015
1
Review (Sec 2.4)
Let xh denote a xed x-value
A point estimate of
E(Y |X = xh)
is
b 0
Testing for lack of t
Statistics W4315
Columbia University
Fall 2015
October 2, 2015
1
Announcements
1. Instructors Friday o
ce hour:
1:303:00pm 10th oor SSW 1:002:30pm 703 Hamilton
2. Homework 2 is d
STAT W4315, Fall 2015: The multivariate normal distribution
The univariate normal distribution plays a key role in univariate statistics;
Y N (, 2 )
means that Y has a normal distribution with mean an
The Simple Linear Regression Model
Statistics W4315
Columbia University
Fall 2015
September 18, 2015
1
The simple linear regression model
Suppose our data consist of (X1, Y1), (X2, Y2), . . . , (Xn, Y