Me suppose the correlation between two variables x and y is due to the fact that both are responding to changes in some unobserved third variable. what is this due to? a. common sense b. cause and effect between x and y c. extrapolation d. the effect of a lurking variable e. none of the above suppose a straight line is fit to data having response variable y and explanatory variable x. what is the term for predicting values of y for values of x outside the range of the observed data? a. correlation b. extrapolation c. causation d. sampling e. asymptotically stupid how can the relationships between categorical data be displayed? a. scatterplot b. residual plot c. table d. graph of linear regression model two or more explanatory variables that are separated best describes which of the choices below? a. lurking variable b. confounding variable c. simpson's paradox d. extrapolation a correlation indicates causation. a. true b. false