Відео

Lesson 18 ANCOVA Rstudio Help

In this lesson, we will cover the analysis of the peanut yield example.

Lesson18 ANCOVA JMP Help

In this lesson, we will talk about the statistical model for ANCOVA along with investigating the ANOVA table with and without a covariate. Additionally, we will talk about testing.

In this lesson, we will talk about a motivating example, blocking, and covariates

In this lesson, we will talk about scatterplot, correlation, variance inflation factor (VIF), and additional diagnostics.

Lesson 17 Collinearity Detection in JMP Help

Lesson 17 Collinearity Rstudio Help Video

In this lesson, we will motivate collinearity through an example, provide definition, and how to detect collinearity.

In this lesson, we will talk about different types of outliers, detecting outliers in the Y space, detecting leverage points, detecting high influence points (HIPs) using the soft Drink Data Example.

Lesson 16 Outlier Diagnostics JMP Help Video

Lesson 16 Outlier Diagnostic Rstudio Help

Lesson 15 MLR Model Diagnostics - Rstudio Help

Lesson 15 MLR Model Diagnostics - JMP Help

Lesson 15D: MLR - Model Diagnostic - Transformations

Lesson 15C: Model Diagnostics - Partial Regression Plot (Added Variables Plots)

Lesson 15B: MLR Model Diagnostics - Checking Assumption

Lesson 15A: Model Diagnostics - MLR Assumptions

Lesson 14 Variable Selection in Rstudio Help

Lesson 14 Variable Selection in JMP Help

Lesson 14 C: MLR - Variable Selection - Best Subset

Lesson 14 B - MLR Variable Selection - Step Selection Procedures

Lesson 14 A - MLR Model Building - Introduction

Simple Linear Regression Review

Lesson 13E : MLR Individual t-Tests

Lesson 13 G: MLR - R2

Lesson 13 F: MLR Interval Estimates

Lesson 13A: Multiple Linear Regression Introduction

Lesson 13B: MLR - Model