Lecture 6: Inference for
Simple Linear Regression Models
Tests for model diagnostics and Remedial measures
(Chapter 3.4-3.11)
STAT 325/425
STAT 325/425 (Lecture 6)
Simple Linear Regression
Fall semester 2014
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Diagnostics
Formal testing
Formal hypoth
STAT 325/425: Data Analysis and Linear Models
Instructor: Jenn Brynjarsdttir
TueThu 2:45 - 4:00 pm, Olin building 314
STAT 325/425 (Lecture 1)
Introduction / EDA
August 28, 2014
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Introduction
STAT 325/425
Data Analysis
Exploratory data analysis (EDA
Introduction to R
Background
What is R?
R is a system for statistical computation and graphics
R is free!
See http:/www.r-project.org/ to download and for manuals, Wiki,
FAQ etc.
What is RStudio?
RStudio is a convenient program to use R.
Keeps code, comma
Lecture 5: Inference for
Simple Linear Regression Models
Model diagnostics (Chapter 3.1-3.3)
STAT 325/425
STAT 325/425 (Lecture 5)
Simple Linear Regression
Fall semester 2014
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Diagnostics
Model diagnostics
All inference for the regression model assu
Lecture 9: Multiple Linear Regression (MLR) Model
Overview of the MLR model (Ch. 6.1)
Inference for MLR - in matrix form (Ch 6.2-6.7)
Diagnostics and remedies (Ch. 6.8)
STAT 325/425
STAT 325/425 (Lecture 9)
Simple Linear Regression
Fall semester 2014
1 /
Lecture 7: Inference for
Simple Linear Regression Models
Simultaneous condence intervals
Regression through the origin
Chapter 4.1-4.4
We skip Chapters 4.5-4.7
STAT 325/425
STAT 325/425 (Lecture 7)
Simple Linear Regression
Fall semester 2014
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Simult
Lecture 2: Simple Linear Regression
STAT 325/425
STAT 325/425 (Lecture 2)
Simple Linear Regression
August 28, 2014
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RegressionModels
Latin example from last time
Latin Students tend to do
better on the English exam
90
80
q
q
q
70
Score
q
q
q
q
q
60
Lecture 4: Inference for
Simple Linear Regression Models
ANOVA, General Linear Test and R 2 (Ch 2.7-2.10)
Note: We skip section 2.11 in the book
STAT 325/425
STAT 325/425 (Lecture 4)
Simple Linear Regression
Fall semester 2014
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ANOVA
ANOVA: ANalysis
Lecture 3: Inference for
Simple Linear Regression Models
Maximum Likelihood Estimators
Inference for parameters
Inference for regression line
Prediction
STAT 325/425
STAT 325/425 (Lecture 3)
Simple Linear Regression
Fall semester 2014
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Inference for
Case Western Reserve University
STAT 325/425: Data Analysis and Linear Models
Fall 2014
Midterm I
OibLelODS
Name:
0 This exam is 11 numbered pages. Make sure you have them all.
0 The following table gives quantiles from the Students t distribution you may