examining relationships
between several variables for the same population
explanatory
denote by x
response
denoted by y
scatterplots
displays two quantitative variables measured on the sae individuals
lurking variable
helps explains the relationship between variables in a study
regression line
a straight line that describes how a response variable Y changes as an explanatory variable X changes
residual
the difference between predicted values of y (dependent variable) and observed values of y
extrapolation
the process predicting a value of Y for a value of X outside our range of data
should be avoided all time
influential observation
bservation for a statistical calculation whose deletion from the dataset would noticeably change the result of the calculation.