Chapter 3 - 6851F_ch03_38_63 13/09/2002 05*02 PM Page 38 3...

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38 3 3.1 (a) Time spent studying is explanatory; the grade is the response variable. (b) Explore the rela- tionship; there is no reason to view one or the other as explanatory. (c) Rainfall is explanatory; crop yield is the response variable. (d) Explore the relationship. (e) The father’s class is explanatory; the son’s class is the response variable. 3.2 Height at age six is explanatory, and height at age 16 is the response variable. Both are quan- titative. 3.3 Sex is explanatory, and political preference in the last election is the response. Both are cate- gorical. 3.4 “Treatment”—old or new—is the (categorical) explanatory variable. Survival time is the (quan- titative) response variable. 3.5 The variables are: SAT math score; SAT verbal score. There is no explanatory/response rela- tionship. Both variables are quantitative. 3.6 (a) Explanatory variable 5 number of powerboat registrations. (b) 50 40 30 20 10 0 Manatees killed 400 450 500 550 600 650 700 Boats (thousands) 3.7 (a) Explanatory variable: number of jet skis in use. (b) The plot shows a moderately strong linear relationship. As registrations increase, the number of manatee deaths also tends to increase. 6851F_ch03_38_63 13/09/2002 05*02 PM Page 38
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Examining Relationships 39 The horizontal axis is “Jet skis in use,” and the vertical axis is “Accidents.” There is a strong explanatory-response relationship between the number of jet skis in use (explanatory) and the number of accidents (response). 3.8 Answers will vary. 3.9 (a) The variables are positively associated. (b) The association is moderately linear. (c) The association is relatively strong. The number of manatees killed can be predicted accurately from the number of powerboat registrations. If the number of registrations remains constant at 719,000, we would expect between 45 and 50 manatees to be killed per year. 3.10 (a) The variables are positively associated; that is, as the number of jet skis in use increases, the number of accidents also increases. (b) The association is linear. 3.11 (a) Speed is the explanatory variable. 0 20 40 60 80 100 120 140 Speed (km/hr) 20 10 “Mileage” (liters/100 km) (b) The relationship is curved—low in the middle, higher at the extremes. Since low “mileage” is actually good (it means that we use less fuel to travel 100 km), this makes sense: moderate speeds yield the best performance. Note that 60 km/hr is about 37 mph. (c) Above-average values of “mileage” are found with both low and high values of “speed.” (d) The relationship is very strong—there is little scatter around the curve, and it is very use- ful for prediction. 3.12 (a) See plot on next page. Body mass is the explanatory variable. (b) Positive association, linear, moderately strong. (c) The male subjects’ plot can be described in much the same way, though the scatter appears to be greater. The males typically have larger values for both variables.
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This note was uploaded on 12/08/2011 for the course STAT 101 taught by Professor O during the Fall '08 term at Lake Land.

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Chapter 3 - 6851F_ch03_38_63 13/09/2002 05*02 PM Page 38 3...

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