KEY TERMS

Coefficient of Correlation
a measure developed by Karl Pearson (early 1900s) that gives the strength of association between the independent variable and the dependent variable. The coefficient cannot be more than [latex]1[/latex] or less than [latex]–1[/latex]. The closer the coefficient is to [latex]\pm 1[/latex], the stronger the evidence of a significant linear relationship between [latex]x[/latex] and [latex]y[/latex].

Outlier
an observation that does not fit the rest of the data

residuals
difference between the [latex]y[/latex] values of observed data and the [latex]y[/latex] value predicted by the linear; also called error

regression line
line of best fit; lease squares line; line that best represents all of the data points.

scatterplot
plot of [latex](x, y)[/latex] ordered pairs where [latex]x[/latex] and [latex]y[/latex] are two quantitative variables