Create a scatterplot, Use the scatterplot to determine if there is a correlation between 2 variables (positive/negative and strong/weak), Calculate Person's correlation coefficient, r, to measure the strength of a relationship, Interpret the strength of a relationship using r (r is between -1 and 1), Interpret the p-value (<0.05 evidence of a strong relationship), Once we establish there is a correlation, we can fit a linear regression model, State the equation of the linear model (y=a+bx), Interpret the intercept and slope in context, Use the linear regression model to predict the dependent variable, Comment on the accuracy of a prediction

Correlation and Regression Process

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