correlation practice problems

# correlation practice problems - Correlation 1 I believe...

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Unformatted text preview: Correlation 1. I believe that people who prefer chocolate will avoid other candles and vice versa. In order to test this hypothesis, I give six of my family members identical Easter baskets. I observe how many jelly beans and how many Cadbury Creme Eggs (chocolate!) each person eats. Below are the results. Calculate the correlation coefﬁcient. 1332. (3| q _ a all» [‘T: J‘LuiT ‘HQ- 258 I (Is-b C’Z‘Raf) — I )1' ('331 3“ i (01 r .312) f(:;3z-:no)Lm-~4t.to1) 52W“! What type of corielation this? Fear 8 0h ()fod-ULC-t- - , #42. MOW‘t airmen-l On In order to further investigate this problem, I run another analysis comparing the _. number of jelly beans eaten and whether or not that person had fully consumed the ‘ q L" chocolate Easter bunny in their basket. What type of correlation would this be? varrwlau. cud-OM Mekowmwl fuse-Lu. Assume that I gather jelly bean and Easter bunny data from 20 people and ﬁnd r = .50. I code the Easter bunny data using 0 = “bunny not eaten” and 1 = “bunny eaten”. What does this tell us about the relationship between jelly bean and Easter bunny consumption? “were. 3w»? Space-M Mu. ecu-*1 who: Queer .M err-m: ,MK-1(.. c oco Mk new? 44-44-3- wrt— M “ K gang“; Whﬁ‘ﬁ’ ‘ Draw a scatterplot of the second result (bunny eaten vs. jelly beans eaten). Be sure to label your axes! 03" 40.8 — “1"“0 \ L9 (A ‘0‘) 35“. E4 1"? 5 u u}. W3 61W If I switched the coding for the bunny data, how would this change the coefﬁcient? W Co 2-4.80 w’r would be. com MW“ 2. In order to examine the relationship between kids’ ages and the amount of time they spend playing video games, a researcher collects data from 100 first-graders and 100 high school seniors. She ﬁnds that the relationship is very strong (r = .84). Describe the ﬂaw in her methodology and how it may have impacted her r—vaiue. 1.1.“ ate.“ :1 (1 Cu M4!" 1? Way» {aw-we. me, lot can”... SN. ant-.1 ingrucms dosh—at. Frm 4* rrrqratlbfca‘ cud hcqhgcnom ”afar: oer-d doom '4 meat. ohm from an»;— of m 43.0.0025 m+w Mm. 4 in} increase-t N V‘M‘u- 01" v (Mom H u c are whats!» H- ymns—Lid Her-uh i-W ;€ .5 1H— had W a. Mar t. 44*“; Mpul - 3. Describe a situation in which a correlation analysis would be affected by the restricted ran e problem. How would this affect r? I n N Wv‘ﬁ- a M§IL - a . j at N-h‘w we ream wewtok aHM-v w Sm CoILuL-l” dCﬁ-a ﬁa‘m \$00.03,” of Opt? J W. 'T'V'HS u e. "N w h uuauud durum-t m (mi-VMW remain cut-x V‘gu we)“ (I (- W+ Ugly-P93 GK MMﬁ ﬂuid-M smvm- 4. Give an example of a Spearman rank-order correlation in which r would be negative. Be sure to describe your variables. Under what circumstances would a Spearman correlation be referable to a Pearson correlation? 14 qauvanvc, 'mdwy S' be? Wynne—r; ClHMP‘é-f‘ﬂﬁ? am}- ramc ,(H— woun'r a? show rwived "m Wow-3W W} L‘ “Ohv‘L’ 1 “*0-‘73 “N W\\\ W “th3 (ﬁr-A 6 qu4r\% Ca“-¢\‘~Hm 5 Per-1‘ wan (of auteur-30"" 35 .h¢vL Eat-HM 5&0!!! \q .9“: or baht-a ere-'- guuv vyiabU-I ...
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