R × Python

Protected web teaching edition

Teach the idea.
Then work the method.

Fourteen complete chapter decks designed for lectures, revision, and guided study. Each deck opens in the same focused reader on computers, tablets, and phones.

Begin with Chapter 01Browse all decks ↓Watch the chapter lectures →
14
chapter decks
900
teaching slides
R + Python
worked routes
Chapter 0683 slides
Title slide for Chapter 6, Multiple linear regression

Slides library

Four parts.
Fourteen decks.

Use the decks alongside the online chapters and companion code. Progress is encoded in each link, so you can bookmark an individual slide.

I

Questions and foundations

Chapters 1–4

01 · 61 slides

Introduction

Questions, design, and data structures

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02 · 64 slides

Covariation in data

Correlation, regression lines, residuals, and R²

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03 · 66 slides

Probability and statistical inference

Estimators, sampling distributions, tests, and intervals

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04 · 62 slides

Correlation and inference about a population

Sampling uncertainty, Fisher transformation, and dependence

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II

Regression models

Chapters 5–9

05 · 73 slides

The simple linear regression model

OLS, interpretation, robust inference, and diagnostics

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06 · 83 slides

Multiple linear regression

Partial effects, FWL, omitted variables, and joint tests

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07 · 59 slides

Nonlinear functional form

Polynomials, categories, logarithms, and interactions

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08 · 63 slides

Regression with dependent errors

Clusters, multilevel models, panels, and fixed effects

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09 · 69 slides

Binary dependent variable and the generalized linear model

Logit, probabilities, odds, and maximum likelihood

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III

Prediction and flexible methods

Chapters 10–12

10 · 60 slides

Prediction

Validation, regularisation, trees, and model comparison

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11 · 53 slides

Nonparametric regression

Local averages, kernels, bandwidths, and boundaries

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12 · 62 slides

Time series analysis

Stationarity, dynamics, unit roots, and forecasting

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IV

Causal design and synthesis

Chapters 13–14

13 · 72 slides

Causal analyses

Potential outcomes, experiments, matching, and research designs

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14 · 53 slides

Key concepts

Assumptions, estimator properties, workflow, and synthesis

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About this edition

Open for learning.
Careful with rights.

01

Image-only delivery

Slides are rendered as high-resolution web pages. The original PDF and editable source never reach the public site.

02

Embedded attribution

Every page carries an authorship and website mark inside the image itself, not as a removable browser overlay.

03

Rights-aware omissions

Where public figure rights still require confirmation, the web edition directs readers to the book and cited article instead.

For personal study and classroom viewing. Please do not redistribute, reproduce, or republish the slide images without the authors’ permission.