Textbook Notes
(363,264)

Canada
(158,281)

Simon Fraser University
(5,275)

Statistics
(98)

STAT 100
(65)

Derek Bingham
(45)

Chapter 15

# Chapter 15 STATS.docx

Unlock Document

Simon Fraser University

Statistics

STAT 100

Derek Bingham

Winter

Description

Chapter 15 Describing Relationships Regression Prediction and CausationRegression linesA regression line is a straight line that describes how a response variable y changes as an explanatory variable x changes predict the value of y for a given value of x Because we want to predict y from x we want a line that is close to the poitsn in the vertical direction The leastsquares regression line of y on x is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible X stands for the explanatory variable and y for the response variableYabxThe number b is the slope of the line the amount by which y changes when x increases by one unitThe number a is the intercept the value of y when x0 To use the equation for prediction just substitute your xvalue into the equation and calculate the resulting yvalueUnderstanding predictionPrediction is based on fitting some model to set of dataPrediction works best when the model first the data closelyPrediction outside the range of the available data is riskyBeware of extraporlation prediction outsi

More
Less
Related notes for STAT 100