POLI 380 Lecture 10: POLI 380 - Week 10.docx
Document Summary
X is the independent variable u is the error a is the y intercept/where x=0 b is the slope/coefficient of the regression line; it explains the magnitude of the effect that x has on y the coefficient is known as the slope of the line it quantifies the effect of the independent variable on the dependent variable the expected change in y when x changes by one. Regression inference allows us to communicate certainty/uncertainty about relationships as much as any other feature of the data just as mere randomness in a sample could produce a mean a long way from the true population value, randomness could also produce a strong relationship where there is none (i. e. a long way from the true population value) randomness could also show us no relationship in our sample even if there really is one.
