COMM 291 ASSIGNMENT 6

# Seb0 se 19 seb1 20 21 22 23 24 25 26 27

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Unformatted text preview: SSE = (11) – (10) ˆ = ∑ (y - y )2 = (n-1)sy2 = SSM/1 = (9)/(6) = SSE/(n-2) = (10)/(7) = se2 = MSM/MSE = (12)/(14) = Pr (F&gt;|F-stat|), where F-stat = (14) = y-bar – b1 (x-bar), where b1 = (17) = r(sy/sx) 2 1 x + n ∑ xi − x 2 (18) = SE(b0) = se (19) = SE(b1) = (20) (21) (22) (23) (24) (25) (26) (27) = (16)/(18) = (17)/(19) = 2 x Pr (tn-2 &gt; |(20)|) = 2 x Pr (tn-2 &gt;|(21)|) = (16) – t*n-2 (18) = (17) - t*n-2 (19) = (16) + t*n-2 (18) = (17) + t*n-2 (19) ( ) se 2 ∑ (x − x ) i *** END OF ASSIGNMENT 6 *** (or textbook version) (or textbook version) Significance F (15) Lower 95% (24) (25) Upper 95% (26) (27) Marking Scheme (Total = 20): Question 1. (10 marks) a) Scatterplot and regression line – 1 mark Assumptions check – 2 marks (0.5 for each) b) Regression equation – 1 mark c) Hypothesis test – 2 marks: 0.5 for hypotheses, 1 for test statistic, 0.5 for conclusion d) CI – 2 marks: 1 for estimated mean, 1 for margin of error e) PI – 2 marks: 1 for estimated mean, 1 for margin of error Question 2. (8 marks) a) Fitted regression model – 2 marks b) R square – 1 mark (0.5 for value, 0.5 for interpretation) c) Interpretation – 1 mark (accept any reasonable answer) d) Final model – 2 marks e) Check on assumptions – 2 marks (two residual plots needed and either the normal probability plot or a histogram; 1 mark for plots, 1 mark for conclusions) Question 3. (2 marks) If the template is filled out, give full marks. Just do a spot check on a few entries of your choice....
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## This note was uploaded on 01/16/2014 for the course COMM 291 taught by Professor E.fowler during the Fall '10 term at The University of British Columbia.

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