Definition Linear Regression is a data analysis tool that allows us to model a linear relationship between two variables. Linear regression is most frequently used to make predictions based on actual data (Johnson & Christensen, 2012; Kohout, 1974; Hatch & Lazarton, 1991). History The first use of linear regression is attributed to Sir Francis Galton, cousin of Charles Darwin, on 1886. Most of his work focused on the relationships between sizes of vegetables, and also correlations between people’s heights (Klugh, 1986). Assumptions Linear Regression assumes certain conditions in order to model our data. These assumptions can also help you decide if Linear Regression is a convenient tool for your research. The degree of certainty of our assumptions will make our model more robust. Some fundamental and most frequently used assumptions are the following: I. Ratio/Interval data in your variables Data you can establish proportions with, and that h...
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