In the first chapter, you will understand how and why to perform inferential (instead of descriptive only) analysis on a regression model.

Ver Detalles Del Capítulo

2

Simulation-based inference for the slope parameter

0%

In this chapter you will learn about the ideas of the sampling distribution using simulation methods for regression models.

Ver Detalles Del Capítulo

3

t-Based Inference For the Slope Parameter

0%

In this chapter you will learn about how to use the t-distribution to perform inference in linear regression models. You will also learn about how to create prediction intervals for the response variable.

Ver Detalles Del Capítulo

4

Technical Conditions in linear regression

0%

Additionally, you will consider the technical conditions that are important when using linear models to make claims about a larger population.

Ver Detalles Del Capítulo

5

Building on Inference in Simple Linear Regression

0%

This chapter covers topics that build on the basic ideas of inference in linear models, including multicollinearity and inference for multiple regression models.

Ver Detalles Del Capítulo

Mostrar DiapositivasMostrar VídeoTomar NotasContinúa Aprendiendo En Tu Dispositivo MóvilProporcionar Comentarios