UE Data analysis, linear models and ANOVA

Degrees incorporating this pedagocial element :

Description

The aim of this course is to present advanced statistics and linear modelling, variance analysis and provide practical implementation

Contents:

  • Linear regression
  • Estimation and test of regression parameters
  • ANOVA
  • ANCOVA
  • Practical implementation

This is a two part course. This class is the Ensimag mutualised part.

Prerequisites

M1 first semester, basics of probability and statistics (estimation, tests)

Targeted skills

Linear modelling using regression, provide an analysis of the quality of the model

Perform variance analysis of a model

Knowledge assessment methods

Session 2 - Knowledge testing

Type of teaching providedMethodTypeDuration (min)Coefficient
Teaching Unit (UE)CT Written or Oral100/100