Regression - Study guides, Study notes & Summaries

This is a summary of the book, lecture slides and SPSS instrustions used in Statistical Reasoning: Theory and Application at the University of Amsterdam.

An overview/summary of the course 'Modern Methods in Data Analysis' (part of Epidemiology at Utrecht University/UMC Utrecht). Linear Models, Likelihood and Logistic Regression are explained. Also Poisson models and generalized linear models, Survival Analysis, Resampling methods, Longitudinal Data Analysis are explained.

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 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 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! ;)

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 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,...

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.

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 section within the 'Research Methods' summary exclusively focuses on the theoretical aspects spanning six weeks of the course. It serves as a thorough repository, encompassing key concepts from the introduction of regression in Week 1 to advanced topics like MANOVA and discriminant analysis in Week 6. It's crucial to note that while this section delves into all the essential theoretical content, additional practical instructions for utilizing the statistical software R are available ...