Question

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Shawna reads a scatterplot that displays the relationship between the number of cars owned per household and the average number of citizens who have health insurance in neighborhoods across the country. The plot shows a strong positive correlation. Shawna recalls that correlation does not imply causation. In this example, Shawna sees that increasing the number of cars per household would not cause members of her community to purchase health insurance. Identify the lurking variable that is causing an increase in both the number of cars owned and the average number of citizens with health insurance. O Average income per household O The number of cars on the road O The number of citizens in the United States O Average mileage per vehicle

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Answer 1

& D Answers - The lurking variable per household. is average income 2 Median is used whes data has extreme values. because it is the only measure which is not affected by extreme values. 3) Height of toddle is continuous vonable. 4 Drob that evest A or B occurs = I PLACRB) + PCBCDA) 0.23+ 0.43 0-66 A coordation Coe. bet no, of miles driver & no. of gallons of gas remaining is most likely to be 0 & 1 a Becawe there is negative correlation beth no. of miles drives & no. of gallons of gas remaining Also corr-coe dies bets Li Dol 2 The so professors that mike interviews are his sample & all professors who work in Michigan are the population. I The total no. of possible trial = 66 = 46656 outcomes for each