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REG Online

Course dedicated to Regression Models

To organize the english course

Goals:

Building models to relate phenomena to each other, choosing the appropriate model and interpreting the results.

 

Techniques presented:

Main statistical techniques for the analysis of multidimensional phenomena.

 

Cost:

The cost of the entire REG Online course (5 sessions, for a total of 12 hours and 30 minutes) is 625.00 Euro (excluding VAT) per participant.

Practice:

Practice is provided for each of the topics covered.

Prerequisites:

Attendance at the TEST Online course is a prerequisite.

(or having attended the scheduled TSC course) or having an intermediate knowledge of Statistics for Data Analysis.

 

Duration:

Online course lasting 12 hours and 30 minutes, divided into 5 sessions of 2 hours and 30 minutes each.

Attendance:

Our online courses are delivered live in order to ensure maximum interaction and collaboration between teacher and participants. For this reason, the presence of participants in all lessons is considered essential.

In case of absence from a lesson, the Training Staff will send the learner the points and exercises covered during the missed lesson.

If more than one lesson is missed, the Training Staff reserves the right not to send the student the certificate of participation.

 

Certificate of attendance:

A certificate of participation will be issued at the end of the course.

Topics that will be addressed for each session:

First session (2 hours and 30 minutes)

  • Simple linear regression

    • The regression line

    • Assumptions of the regression model

Second session (2 hours and 30 minutes)

  • Multiple linear regression

    • Diagnostic analysis (Residuals, Influences, Leverage, Collinearity)

Third session (2 hours and 30 minutes)

  • Generalized linear model

    • Analysis of Variance model

Fourth session (2 hours and 30 minutes)

  • Multivariate analysis of variance and repeated measures

Fifth session (2 hours and 30 minutes)

  • Odds Ratio

  • Logistic regression

    • Binomial model

    • Multinomial model