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Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

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4 Hours18 Videos58 Exercises78,854 Learners
4200 XP

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Course Description

Ultimately, data analysis is about understanding relationships among variables. Exploring data with multiple variables requires new, more complex tools, but enables a richer set of comparisons. In this course, you will learn how to describe relationships between two numerical quantities. You will characterize these relationships graphically, in the form of summary statistics, and through simple linear regression models.

  1. 1

    Visualizing two variables

    Free

    In this chapter, you will learn techniques for exploring bivariate relationships.

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    Visualizing bivariate relationships
    50 xp
    Scatterplots
    100 xp
    Boxplots as discretized/conditioned scatterplots
    100 xp
    Characterizing bivariate relationships
    50 xp
    Creating scatterplots
    100 xp
    Characterizing scatterplots
    50 xp
    Transformations
    100 xp
    Outliers
    50 xp
    Identifying outliers
    100 xp

Collaborators

Nick CarchediTom Jeon

Prerequisites

Exploratory Data Analysis in R
Ben Baumer Headshot

Ben Baumer

Assistant Professor at Smith College

Ben is an Assistant Professor in the Statistical & Data Sciences Program at Smith College. He completed his Ph.D. in Mathematics at the Graduate Center of the City University of New York in 2012. He is an Accredited Professional Statistician™ by the American Statistical Association and was previously the Statistical Analyst for the Baseball Operations department of the New York Mets.
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