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The Baylor Religious Survey, examines religious beliefs and behavior ofAmerican Adults. The sample survey asked about respondents' demographics (such as age, race, gender, etc.), how

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The Baylor Religious Survey, examines religious beliefs and behavior ofAmerican Adults. The sample survey asked about respondents' demographics (such as age, race, gender, etc.), how much they believed in religious evil (such as Satan, Hell, or demons), and many other questions. The authors ofthe cited study were interested in what predicts beliefin religious evil. Here we will examine the authors findings regarding how much age predicts level of belief in demons. Age is measured in years and beliefin demons ranges from 1 \"absolutely not\" to 4 \"absolutely\". The authors found that when age is used to predict belief in demons the slope is .007 and the intercept is 3.989. Source: Baker,J_.(2008). Who believes in religious evil? An investigation of sociolog A. What type of association do the findings provide evidence for? 0 Positive, being older is associated with greater belief in demons O Negative, being older is associated with lesser belief in demons B. What is the best interpretation of the slope? 0 Having a birthday causes belief in demons to decline by .007. O Being one year older, is associated with a .007 increase in predicted level of belief in demons. O Older people are antidemon. 0 Being one year older, is associated with a .007 decline in predicted level of belief in demons. C. What is the best interpretation of the intercept? C) When people are born they say they absolutely believe in demons. OAt the age of 0, predicted level of belief in demons is 3.989 (very close to 4, meaning newborns tend to absolutely believe in demons). 0 Nearly all newborns absolutely believe in demons C) We shouldn't interpret the intercept in this case because the intercept predicts what level of belief in demons at age 0 and this survey only asked adults about their level of beliefin demons D. What is the predicted level of belief in demons foran individual who is age 80? E. Should we use regression in this case

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