Textbook Notes (363,264)
Canada (158,281)
Statistics (98)
STAT 100 (65)
Chapter 15

Chapter 15 STATS.docx

2 Pages
Unlock Document

Simon Fraser University
STAT 100
Derek Bingham

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

Log In


Don't have an account?

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.