STA 205 Lecture Notes - Lecture 13: Dependent And Independent Variables, Point Estimation, Prediction Interval
Document Summary
Develop a linear model that can be used for prediction and estimate response the variable we want to model dependent ly perdictor the variable hypothesised to have an effect on the response x independent. Because we now have two quantitative variables collected, we need a way to distinguish between them: response variable: predictor variable: Example: a consumer organization would like to develop a model to predict a car"s gas mileage (in miles per gallon) based upon its weight (in thousands of pounds). In order to do this, a random sample of 50 cars was selected with weights ranging between 1900 pounds and 4000 pounds. To graphically inspect the relationship between these two variables, we can create a scatterplot. When given a scatterplot, the following three characteristics should be discussed: if gas mileage gal lbs predictor response direction of the relationship. 1 direction of the relationship y 9 x r y d positive negative r as a as.
