Regression - Study guides, Study notes & Summaries

C207 An analyst used multiple linear regression to explore how Store A's sales ( y) are pr C207 An analyst used multiple linear regression to explore how Store A's sales ( y) are predicted by Store A's advertising expenditure dollars (variable x1) and the advertising expenditure dollars of Store A's competitor (variable x2). The estimated regression is y = 532 + 80.5 x1 - 35.6 x2. How much sales would be predicted if x1 is $1,000 and x2 is also $1,000? The given multiple linear regression ...

This document summarizes all test material for the midterm exam of ARMS. Some parts of the Grasple lessons are written in Dutch, but overall in English. With this summary i got an 8 for the exam.

1 Beast of Bias ............................................................................................................................................ 1 1.1 Ausreißer .............................................................................................................................................................................. 2 1.2 Annahmen.........................................................................................................................................

This summary contains all material discussed in the lectures (1-13) of Machine Learning taught at the Vrije Universiteit Amsterdam to third year Business Analytics, Information Science, Computer Science and Artificial Intelligence bachelor students. It is quite extensive, contains a lot more than just theoretical formulas (I think it is hard to memorise them without knowing some background) so everything I wrote is explained with a sketch, example or some extra information that all helped me t...

A comprehensive summary of the course Advanced Statistics (in English) with a table of contents at the front to keep the overview. All given chapters are summarised and so are all lectures, tutorial videos and writing tutorials.

This is a summary and collection of notes from all the lectures and micro-lectures. Also, the answers to the practice questions are included. The subjects are: 1. Introduction lecture, 2. Factor analysis, 3. ANOVA, 4. Regression analysis And 5. Structural Equation Modeling (SEM)

This document contains all reading material and lectures that were discussed during the lectures of Business Intelligence & Business Analytics in the spring of 2023. Note that the last Python exercises are not added in this summary! Full list of material: - Database systems: design, implementation, and managementLinks to an external site. (9 edition), P. Rob and C. Coronell. (1.2, 1.7; 2.1, 2.2, 2.3; 3.1, 3.2, 3.6; 6.1, 6.2.) - Data Warehouse Design: Modern Principles and Methodologies ...

Dit is een samenvatting van de te leren tentamenstof voor het tweede deeltentamen voor het vak Voortgezette Statistiek, gegeven in het derde jaar van de Bachelor Sociologie aan de RUG. Het betreft een samenvatting van de colleges met uitgebreide uitwerkingen van de gegeven voorbeelden. Het gaat om de grote thema's als padanalyse, factoranalyse en multilevel analyse. Daarnaast zijn ook de belangrijkste punten uit de artikelen uit de klapper samengevat. Alleen het zelf te downloaden artikel is ni...