3.27: Introduction to Linear Regression

Concepts in Statistics · LibreTexts

0%

Contents

    Text

    Size
    100%
    Theme
    Typeface
    Line length
    Spacing

    From LibreTexts, under CC BY 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    3.27: Introduction to Linear Regression

    What you’ll learn to do: For a linear relationship, use the least squares regression line to model the pattern in the data and to make predictions.

    This is a sample data that shows a curve fit line with data points and the distance between the twoIn this section, we present steps for finding the simple linear regression formula given a set of data. This formula is derived to find the line that has the smallest total squared error from the line to the observed data. In addition, we interpret the constants in a real-world context and explore the ways in which we can use the linear regression model to form predictions or good “guesses” for new values.

    Contributors and Attributions

    CC licensed content, Shared previously

    This page titled 3.27: Introduction to Linear Regression was last modified on Mon, 07 Dec 2020 07:04:07 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Lumen Learning.