Multiple regression: starting off

This chapter will help to develop your understanding of the basic framework of multiple regressions. To this purpose, you will use a pre-loaded dataset fs that contains the yearly wages of professors at a certain university. By going through the exercises, you will familiarize yourself with the implementation of, and the intuition behind, the most important aspects of multiple regression in R.

As always, start by exploring the data in order to make sure that you get a global view of the data that you are working with. This first step is vital as it helps you to truly understand things. As such, you will be able to move through the exercises more easily. Use the R console to perform these actions.

Can you tell which description below most accurately matches the characteristics of a typical professor (the "average person") in the data set?

Possible Answers

A professor with a yearly salary around $ 13,360,731 a year, approximately 50 years of working experience and a publication record of around 67 scientific articles.
A professor with a yearly salary around $ 133,000 a year, approximately 24 years of working experience and a publication record of around 67 scientific articles.
A professor with a yearly salary around $ 133,000 a year, approximately 24 years of working experience and a publication record of around 50 scientific articles.
A professor with a yearly salary around $ 133,000 a year, approximately 50 years of working experience and a publication record of around 67 scientific articles.

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Exercise

Multiple regression: starting off

Instructions

Possible Answers