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Using Linear Regression to Predict Energy Output of a Power Plant

In this article, I will show you how to fit a linear regression to predict the energy output at a Combined Cycle Power Plant(CCPP). The dataset is obtained from the UCI Machine Learning Repository. The...

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Correlation and Linear Regression

Before going into complex model building, looking at data relation is a sensible step to understand how your different variable interact together. Correlation look at trends shared between two...

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Bayesian regression with STAN: Part 1 normal regression

This post will introduce you to bayesian regression in R, see the reference list at the end of the post for further information concerning this very broad topic. Bayesian regression Bayesian statistics...

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How to detect heteroscedasticity and rectify it?

One of the important assumptions of linear regression is that, there should be no heteroscedasticity of residuals. In simpler terms, this means that the variance of residuals should not increase with...

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Mastering R Plot – Part 1: colors, legends and lines

This is the first post of a series that will look at how to create graphics in R using the plot function from the base package. There are of course other packages to make cool graphs in R (like ggplot2...

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Bayesian regression with STAN Part 2: Beyond normality

In a previous post we saw how to perform bayesian regression in R using STAN for normally distributed data. In this post we will look at how to fit non-normal model in STAN using three example...

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First steps with Non-Linear Regression in R

Drawing a line through a cloud of point (ie doing a linear regression) is the most basic analysis one may do. It is sometime fitting well to the data, but in some (many) situations, the relationships...

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Assessing significance of slopes in regression models with interaction

This is a pretty short post on an issue that popped at some point in the past, at that time I found a way around it but as it arose again recently I decided to go through it. The issue I had was that...

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R for Publication by Page Piccinini

The goal of this course is to give you the skills to do the statistics that are in current published papers, and make pretty figures to show off your results. While we will go over the mathematical...

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R for Publication by Page Piccinini: Lesson 2 – Linear Regression

This is our first lesson where we actually learn and use a new statistic in R. For today’s lesson we’ll be focusing on linear regression. I’ll be taking for granted some of the set-up steps from Lesson...

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Dow Jones Stock Market Index (4/4): Trade Volume GARCH Model

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryAdvanced ModelingTagsData VisualisationLinear RegressionR ProgrammingThis is the final...

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Multilevel Modelling in R: Analysing Vendor Data

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryRegression ModelsTagsLinear Mixed ModelLinear RegressionR ProgrammingOne of the main...

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How to calculate the correlation coefficients for more than two variables

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryBasic StatisticsTagsCorrelationLinear RegressionTips & TricksWhen I wanted to...

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How to do regression analysis for multiple independent or dependent variables

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryRegression ModelsTagsLinear RegressionLoopTips & TricksIn this post, I will show how...

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Bayesian Statistics: Analysis of Health Data

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryRegression ModelsTagsBayesian AnalysisLinear RegressionR Programmingt-testThe premise of...

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Linear Regression with Python

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio).CategoryRegression ModelsTagsData VisualisationLinear RegressionMachine LearningPythonSimple...

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Linear regression in Python

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio).CategoryRegression ModelsTagsLinear RegressionPythonOne of the most in-demand machine learning skill is...

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Multiple Linear Regression in Python

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio).CategoryRegression ModelsTagsLinear RegressionPythonOne of the most in-demand machine learning skill is...

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Linear Regression with Healthcare Data for Beginners in R

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio).CategoryRegression ModelsTagsggplot2Linear RegressionNHANESR ProgrammingIn this post I will show how to...

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Multilevel Modelling in R: Analysing Vendor Data

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio).CategoryRegression ModelsTagsLinear Mixed ModelLinear RegressionR ProgrammingNote: This post is currently...

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