Regression - Study guides, Study notes & Summaries

This summary contains everything you need to know for the course Statistics at Radboud. Note: During my premaster, I also had the course 'Kwantitatieve Onderzoeksmethodologie', for which I also had to study Field. Therefore, I also offer a package containing both summaries, which includes other chapters of the book of Field.

This is a complete summary of all the lectures from the Applied Multivariate Data Analysis course in English. I got an 8.7 on the exam by using it! It includes diagrams and supplemental information from the book to improve understanding of the concepts (Regression, ANOVA, ANCOVA, etc.). The summary is based on the lectures provided in the academic year 2022 - 2023 and the 5th Edition of Andy Field's book Discovering Statistics.

This document is a summary of everything you need to know for the endterm (and midterm) of the course 'Econometrics' (6012B0453Y) at the University of Amsterdam, taught by Hans van Ophem. This document includes the following topics: log and ln, expected value, variance, covariance, estimators, simple regression, least squares, gauss-markov, homoskedasticity, TSS, SSR, ESS, R^2, hypothesis testing,multiple regression, adjusted R^2, omitted variable bias, functional form, multicollinearity, SER,...

Statistics 3 Lectures LECTURE 1: Recapitulation LECTURE 2: ANOVA / Regression LECTURE 3: Factorial ANOVA LECTURE 4: ANCOVA LECTURE 4: Mediation / Moderation LECTURE 6: MANOVA/ Repeated Measures

This is a summary of a student who didn’t know anything about statistics but now understands it! It’s a summary with basic lecture notes with extra added notes to easily understand it better, screenshots and an exam preparation with the answers. Good luck! ;)

This document contains my notes of the knowledge clips, my notes of the lecture, my notes of my workgroup meeting & summaries of the mandatory literature.

A comprehensive summary for Inferential Statistics test 2 including units 550, 553, 554, 560, 561, 563, 510, 545, 548, 591, based on the microlectures, lectures and assignments + R codes (own grade: 8.8)

This is a clear and comprehensive summary of multiple linear regression, which is half of the theory for the test of the WUR course 'Reserearch Methods and Data analysis' (YRM30806). Good luck with studying!

This document contains my notes of the knowledge clip, my notes of the lecture, my notes of my workgroup meeting & summaries of the mandatory (and 2 extra) literature.

C207 Justify why linear regression is the appropriate analysis technique for predicting th C207 Justify why linear regression is the appropriate analysis technique for predicting the dependent variable, including relevant details from the scenario to support your justification. Linear Regression: An Appropriate Analysis Technique Linear regression is a statistical method that is used to predict a dependent variable based on the value of one or more independent variables. It is a suitable anal...