## Statistics with R: Example of outlier and leverage analysis part 1 of 3

I show you how to go about determining whether there are outliers and points of high leverage in your model. For outliers we can look at the plot of the ...

From Phil Chan

I show you how to go about determining whether there are outliers and points of high leverage in your model. For outliers we can look at the plot of the ...

From Phil Chan

A brief introduction to leverage and influence in simple linear regression. This video is about the basic concepts, and only briefly mentions numerical measures ...

From jbstatistics

I show you how to go about determining whether there are outliers and points of high leverage in your model. For outliers we can look at the plot of the ...

From Phil Chan

How to check the validity of assumptions made when fitting a Linear Regression Model. In this video you will learn how to use residual plots to check the linearity ...

From MarinStatsLectures

From Phil Chan

Using Excel and R to calculate leverage, internally studentized residuals, externally studentized residuals, Cook's Distance, DFFITS and DFBETA. Course ...

From Chris Mack

Leverage, the hat matrix, internally and externally studentized residuals, the Williams graph. Course Website: ...

From Chris Mack

The properties of leverage points in regression are: sum of leverages over observations equals the number of parameters in the model (intercept plus number of ...

From Phil Chan

Popular measures of influence - Cook's distance, DFBETAS, DFFITS - for regression are presented. 0:00 Intro 1:04 Identifying possible individual influential ...

From Phil Chan

Most likely you'll have been introduced to outliers before points of leverage. Here, in pictures, I point out what the differences between an outlier and point of ...

From Phil Chan

A minilecture on graphical diagnostics for regression models.

From Jarad Niemi

This video gives a quick overview of constructing a multiple regression model using R to estimate vehicles price based on their characteristics. The video ...

From ironfrown

Tutorial 5 Trading Forex - Calculating Margin and Laverage. calculating forex profits, calculating forex leverage, calculating forex margin, calculating forex pips, ...

From Rian Andriyanto

Book: Introduction to Statistical Learning - with Applications in R http://www-bcf.usc.edu/~gareth/ISL/

From MachineLearningGod

Finding the rate of return on an investment where leverage has been used.

From Jeff Davis

In this video you will learn what are the basic differences between outliers and leverage observations. It is important to calculate the influence statistics to know if ...

From Analytics University

From R Backman

This video is about outlier detection using cook and leverage values for analyzing multivariate data.Do feel free to contact me on: emailofsony@gmail.com.

From Dr.Michael Sony

From MrNystrom

This video explains Cook's Distance using SPSS. Cook's Distance is a measure of influence for an observation in a linear regression. The relationship between ...

From Todd Grande

What is the Hat matrix (known in econometrics as the projection matrix P) in regression? A picture of what the Hat matrix does in regression How does the hat ...

From Phil Chan

International Workshop on Linear Models, Experimental Designs, and Related Matrix Theory, University of Tampere, Finland, 6-8 August, 1990. Yadolah Dodge ...

From UniversityOfTampere

From DelOroAPMath

Subscribe to the OpenIntroOrg channel to stay up-to-date. This video was created by OpenIntro (openintro.org) and provides an overview of the content in ...

From OpenIntroOrg

Description.

From Matt Rusek

Residuals - studentized (externally, internally), standardized, and codes in SPSS, Stata, R, SAS. 0:21 What is an outlier in regression? 1:23 Example where a ...

From Phil Chan

From Doug Darbro

Shows how to: - Construct scatter plot - Test if slope of linear regression line is signficiant - Find confidence intervals for mean and slope - Find R² value.

From Krohn - Education

The leverage and influence of a single point on a regression line are illustrated by moving a single point around the figure.

From Randy Johnson

From Jeff Hamrick

A pair of worked problems that investigate the effect of specific data points on a linear regression, including the ideas of outliers, influence, and leverage.

From David Metzler

052 - Torque In this video Paul Andersen begins by discriminating between translation and rotational motion. He then explains how a torque is the product of the ...

From Bozeman Science

Part of the data cleaning process is to remove bad data. There are two methods for removing bad data which are "capping and flooring" and trimming. The main ...

From Dimitri Bianco

From Andrew Friedlieb

From Merry Mac

Today, R. Shawn McBride answers the question, "How do i make my plans better." Learn the one simple tip to make all your plans better. He will also answer the ...

From McBride for Business

A builder from Michigan USA has discovered some amazing techniques of how to move and lift huge stones onto one another.

From Mystery History

From onlinestatbook

More about outliers for linear regression, using Fathom to show dynamically how outliers affect the best-fit line, especially in the case of high leverage.

From David Metzler

Assessment of bivariate outliers and influential cases following simple regression (using Stata 14)

From Mike Crowson

In this video you will learn how to detect outliers in your data before doing modeling For Training & Study packs on Analytics/Data Science/Big Data, Contact us ...

From Analytics University

The lecture covers errors/residuals in a linear regression model including analysis. The assumptions of OLS require normally distributed errors with mean of 0 ...

From Learn Analytics

Jamie Smart of www.jamiesmart.com and www.claritybook.biz talks us through the chapters of his book Clarity. In part 1 of this video he explores Chapter 8: The ...

From Jamie Smart

An introduction to normal quantile-quantile (QQ) plots (a graphical method for assessing whether a set of observations is approximately normally distributed).

From jbstatistics

So after we have estimated our regression using any package whether it be SPSS, Stata, Eviews, R, SAS, Minitab (these are the commonly used ones), we are ...

From Phil Chan

If you are at a university other than UCSD and have found this or any of my other videos to be useful, please do me a favor and send me a note at ...

From ProfessorParris

This video shows a simple method to remove outliers from your data set using SAS. Please remember that residual value between -3.4 to +3.4 are not outliers.

From Knowledge Booster TV