Constructing a scatter plotExample of direction in scatterplotsPositive and negative associations in scatterplotsBivariate relationship linearity, strength and directionDescribing scatterplots (form, direction, strength, outliers)
Introduction to residuals and least-squares regressionCalculating residual exampleCalculating the equation of a regression lineInterpreting slope of regression lineInterpreting y-intercept in regression modelUsing least squares regression output
Residual plotsR-squared intuitionR-squared or coefficient of determinationStandard deviation of residuals or root mean square deviation (RMSD)Interpreting computer regression dataInterpreting computer output for regressionImpact of removing outliers on regression lines
We use scatter plots to explore the relationship between two quantitative variables, and we use regression to model the relationship and make predictions. This unit explores linear regression and how to assess the strength of linear models.
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