Latest updates for Regression Analysis

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Recent items include:

  • [Statistics] Collinearity in regression
  • Predicting the Nifty 50’s Next-Day Close with Linear Regression (and What 95% Really Means)
  • Predicting Solar Power Plant Output Using Weather Data and Linear Regression

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r-bloggers.com /1 week ago

[Statistics] Collinearity in regression

Zhenguo Zhang's Blog https://fortune9.netlify.app/2026/10/16/statistics-collinearity-in-regression/ - library(knitr) library(ggplot2) library(dplyr) library(tidyr) library(broom) P...

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medium.com /1 week ago

Predicting the Nifty 50’s Next-Day Close with Linear Regression (and What 95% Really Means)

A beginner-friendly machine learning project using five years of Indian stock market data.Continue reading on Medium »

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medium.com /1 month ago

Predicting Solar Power Plant Output Using Weather Data and Linear Regression

The QuestionContinue reading on Medium »

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medium.com /1 week ago

Is your Linear regression model correct?

After fitting a linear regression model you should ask yourself these 6 questions to validate that linear regression was actually a good…Continue reading on Medium »

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medium.com /1 month ago

Machine Learning Chapter 3.3: Ordinary Least Squares (OLS) Normal Equation & Geometry

PART 11: ORDINARY LEAST SQUARES (OLS)Continue reading on Medium »

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sourcetrail.com /3 weeks ago

Solving Quadratic Regression with QR-Householder OLS Method

Master the QR-Householder method for OLS. Learn why it beats normal equations in stability and how to implement it for perfect regression. The post Solving Quadratic Regression wit...

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r-bloggers.com /2 weeks ago

Going back to the basics: the correlation coefficient

In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data. It is often measured by the Pearson...

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natigmamishov.medium.com /1 day ago

Polynomial Regression: Underfitting, Overfitting and the Bias-variance Trade-off

In the previous article, we discussed the linear model. But what happens if there is no linear relationship between x and y? We can also…Continue reading on Medium »

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r-bloggers.com /1 week ago

A Trip from Covariance to Correlation and Back

When we have a multi-trait table of data, we might be interested in investigating variability structure and the reciprocal relationships (whether causal or non-causal) among variab...

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medium.com /2 days ago

Types of Regression …continued

Oh gosh! It feels like, I have just taken a lot of time to come back to write about “ Types of Regression”Continue reading on Medium »

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statmodeling.stat.columbia.edu /3 weeks ago

Survey Statistics: ANOVA follow-up

Rodney Sparapani commented on the ANOVA post about struggles with multilevel models, saying ANOVA is more straightforward. I also struggle with multilevel models, but I don’t find...

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