A simple linear regression assesses the linear relationship between two continuous variables to predict the value of a dependent variable based on the value of an independent variable. More specifically, it will let you: (a) determine whether the linear regression between these two variables is statistically significant; (b) determine how much of the variation in the dependent variable is explained by the independent variable; (c) understand the direction and magnitude of any relationship; and (d) predict values of the dependent variables based on different values of the independent variable.
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