This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: a graph. 5. Now look at the residuals as fresh data set and see if you can sketch the graph of a smooth function that fits the residuals well. How easy do you think it will be to predict the life expectancy at birth of females born in 2015? It will indeed be very easy, because all we have to do is to substitute the value of x=115 to the regression equation, which will give us 82.1875 years of life expectancy. (murag sa residuals ni nga question) 6. What will happen if you try linear regression on the residuals? Why does this result make sense? 7. Since most of the females born in 1995 are still alive, how did the Public Health Service come up with a life expectancy of 78.9 years for these women? Graph to Number 4 & 5...
View
Full Document
 Spring '11
 Mr.Reyes
 Least Squares, Regression Analysis, Life expectancy, Public Health Service

Click to edit the document details