'Standardized residual' presentation slideshows

Module Five: Outlier Detection for One Sample Case

Module Five: Outlier Detection for One Sample Case In module Four, we discuss methods for detecting normality of a response variable, and ways of dealing with extremes, if exist. In this unit, we will discuss methods, both numerical and modern graphical methods for detecting extremes.

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569 views • 36 slides

Simple Linear Regression

389 views • 24 slides

LESSON 4.4. MULTIPLE LINEAR REGRESSION. Residual Analysis

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Diagnostics

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Diagnostics

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Chapter 11 Analyzing the Association Between Categorical Variables

Chapter 11 Analyzing the Association Between Categorical Variables. Section 11.4 Using Residuals to Reveal the Pattern of Association. Association Between Categorical Variables. The chi-squared test and measures of association such as and are fundamental methods

127 views • 12 slides

Regression Diagnostics - I

Regression Diagnostics - I. The three conditions required for the validity of the regression analysis are: the error variable is normally distributed. the error variance is constant for all values of x. The errors are independent of each other.

96 views • 9 slides