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Unformatted text preview: 2.68) a) min=1600 Q1=3500 Med=4800 Q3=6000 Max=98000 b) (#-mean)/sd=(4222-4998)/1786=-.43 standard deviation below the mean c) (#-mean)/sd=(11067-4998)/1786=3.4 standard deviation above the mean 3.14 a) r=-.5 b) r=.6 c) r=-.9 d) r=0 3.19 a) i) weight ii) price b) Different from linearity because bikes in the middle cost most and extremes cost less. c) because this is not linear, correlation isn’t an accurate measurement. IF IT WAS LINEAR, we would say 32% of the variability in price can be explained by weight. 3.33 a) y=24+.7x b) 80 3.47 a) No, we can only make inferences. It does not imply causality. b) We know vocabulary increases with age. Height also increases with age. Height and vocabulary are related because of the common variable age....
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This note was uploaded on 02/04/2009 for the course STATISTIC 3011 taught by Professor Sally during the Spring '08 term at University of Minnesota Crookston.
- Spring '08