Exploring bivariate numerical data
This course contains 4 segments:
Making and describing scatterplots
Let's go over the basics of how to construct a scatter plot and describe the relationship we see with its form, direction, and strength.
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This course contains 4 segments:
Making and describing scatterplots
Let's go over the basics of how to construct a scatter plot and describe the relationship we see with its form, direction, and strength.
This course contains 4 segments:
Making and describing scatterplots
Let's go over the basics of how to construct a scatter plot and describe the relationship we see with its form, direction, and strength.
Correlation coefficients
We'll learn to calculate and use the correlation coefficient r to describe the strength and direction of a linear relationship.
Least-squares regression equations
Once we see a linear pattern in a scatterplot, we fit a line to model the relationship and make predictions. But how do we know what line fits the data "best?" To solve this problem, we'll learn about residuals and least-squares regression .
Assessing the fit in least-squares regression
Let's learn how to measure how well a linear model actually fits the relationship in a scatterplot using residual plots and r-squared. We'll also look at how outliers can be influential points in least-squares regression.
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