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Purdue - IE 33000 - Class Notes - Week 10

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Purdue - IE 33000 - Class Notes - Week 10

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School: Purdue University
Department: Industrial Engineering
Course: Probability and Statistics in Engineering II
Professor: Tba
Term: Fall 2015
Tags:
Name: IE 330 - Week 10 Notes
Description: Monday Lecture 27 (3/19), Wednesday Lecture 28 (3/21), No Lecture on Friday, Homework 7
Uploaded: 03/24/2018
8 Pages 24 Views 19 Unlocks
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Unformatted text preview: Lecture 27 Wednesday, March 21, 2018 8:32 AM Monday 19 Sony All, I was stronded in Dublin, Ireland due to weosher durlug closs today, so no notes. Lots f ter prep coming soon shough! (1 canly draw)< Lecture 28 Wednesday, March 21, 2018 8:32 AM Eva Info ch. Dril leur foi 2017 Simple Melide Laent Register Not a lot of computaria, postly aperit Cente Ky sig? teef poln Anova prul. Power R, RJ, pour les " output DF te v Fres pel S obrenas model baildag. GS what model is suggesting (semel repable) we bar sbors sal at spise line, tire) male e s te preals Eyrelse Questions about this regression - Class exercise! 1. Is the regression significant? What evidence do you have for your conclusion? 2 is the regression any good What evidence do you have for your conclusion? 3 Is there any obvious 4. Do there appear to be too many predictors? What evidence do you have for your conclusion? R-sq (adj) close to R-sg Wher dls you how well Au medal will per Late? For as all v F values - 5 and some coefficient p-values are low -0.05) Other questions about this regression - Class exercise 21 1. What is the approxmate of the test state for -29335959172 = -4.98 2. men () -n-1 = 49 so n = 50 3. R' s dhe roof her Zum letela 1.89E+12/1.97612 4. SAJ andee? Es MSE = sort 17408637491Other questions about this regression - Class exercise 31 Begression Analysis Price vers , Bath, Bedroom 1. What is an approximate two- sided 95% confidence terval on the coefficient of Safi' given that = 25.5+ 2 (28.7) = (31.9,-82.9) 2. What house price would you expect for a 1000 sqft house with 2 bathrooms and 2 bedrooms? = -293359 +25.5 (1000) + 48208 (2) 158702 (2) = Quiz mosedasticity - range cone shape Homoscedasticity - range Resdal Plots for Price of residuals constant over range of fitted values. Nomes Preity Plot Normality of residuals- Does not close to line pattern - lack of normality Linearity -"U" indicates non-linearities Histogam Independence (order)- no pattern (increasing decreasing changing variance) von der State the four assumptions you should check for multiple near regression indicate which plot you use to check each assumption and for what you are looking on each plot for those assumptions what would you do? reg. not oavote 7 moy transfom X o y

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