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Identify ordered pairs from a common data set and form a hypothesis about the relationship between the variables. Select a set of ordered pairs and graph the ordered pairs as a scatter plot. Distinguish scatter plots that form a non-linear relationship from those forming a linear relationship. Calculate the linear regression equation for a set of ordered pairs forming a linear relationship. Recall the general form of the linear regression equation and define the meaning of each variable in the equation. Plot the line of best fit on a scatter plot using appropriate software and interpret the meaning of the line of best fit. Calculate the correlation coefficient (Pearson and Spearman Rank) for a set of ordered pairs and interpret the meaning of different coefficient values. Calculate the coefficient of determination and interpret its meaning relative to a set of ordered pairs. Calculate the multiple regression equation for a set of related variables and use the resulting equation to predict the value of the response variable.
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