Introductory Statistics

# 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 formula is:
$r= nΣ(xy)−(Σx)(Σy) [ nΣ x 2 − (Σx) 2 ][ nΣ y 2 − (Σy) 2 ] r= nΣ(xy)−(Σx)(Σy) [ nΣ x 2 − (Σx) 2 ][ nΣ y 2 − (Σy) 2 ]$
where n is the number of data points. The coefficient cannot be more than 1 or less than –1. The closer the coefficient is to ±1, the stronger the evidence of a significant linear relationship between x and y.
Outlier
an observation that does not fit the rest of the data
Order a print copy

As an Amazon Associate we earn from qualifying purchases.