NishMath

Several articles and discussions focus on the fundamental concepts and applications of linear regression in statistical modeling. These resources aim to enhance understanding of linear regression’s role in predictive analysis, using both theoretical and practical examples. The use of R code is also mentioned in some practical demonstrations.

This cluster focuses on probability and statistical analysis, covering diverse topics such as counting techniques in probability, joint, marginal, and conditional probabilities, and the transformation of distributions. Additionally, it includes a discussion of practical applications of probability distributions, with examples from finance, and the analysis of error in variables models, which is very important in the real world.