Many people beleve that gender weight, drinking habits, snd many other Tactors are much more important...
Many people beleve that gender weight, drinking habits, snd many other Tactors are much more important in predidting blood slcchol content (BAC) 1hen simply considering the number of erinis a person consumec. Here we xamine data from sixteen shudent woumeers st Chio State Unhers ty who each of beer. Theee sludents were evenly divided between men ard woren, and Uhey cillered in weight and drinking tisbils. Thirky minutee laler. a polce oiver measured their bbod slootol conlent (BAC) in grams of aloohol per declier of blood. The scaller plot andi rogrecriontatinuare te fdo Std. Errar Estimate PritD value Inter a o024 relslionship belen e number of cars Deeribe "аня азd BAC Fam ct an anewer EdchSelett an anwer Qutlers:(Seiere a toeRe b wta te oquation of the recression lina RAC- bews c) Intarpret the sape in cantext: Far each can of heer. the model predicts the average BAC 1a inorease by Interoret he iercept in cortect The sverage peraon wto l .This ia obviousy impcssble. Here, the y-intercept serves y to adjust the height of the ine and ia meeningl ees by heelf) consumed 0 beers ia expectec to have an average BAC of an incrmese in hinne elcohol? State toa ) Do tha data provica strang aidence thet diinking mara cana of bear is aasodiatd lland altemative hypothases, rapert the p-vaue, and state your onndusion. carrelation coelficienl ur uuber of cans af beer and BAC i amd inlerure in cunles T 0.89. Calajae Interprelalion: The R value mears Uhe approximately he varisbilily in bood sloohol content can be expleined by number of cans of beer consumed c) Prodct the BAC tor somoone who consumad 5 cars ct boor. How reliabla is this pradiction? Explan hi Predct the BAC far somoone who consumad 12 cars cf been How reliable is this prediction? Explain
Many people beleve that gender weight, drinking habits, snd many other Tactors are much more important in predidting blood slcchol content (BAC) 1hen simply considering the number of erinis a person consumec. Here we xamine data from sixteen shudent woumeers st Chio State Unhers ty who each of beer. Theee sludents were evenly divided between men ard woren, and Uhey cillered in weight and drinking tisbils. Thirky minutee laler. a polce oiver measured their bbod slootol conlent (BAC) in grams of aloohol per declier of blood. The scaller plot andi rogrecriontatinuare te fdo Std. Errar Estimate PritD value Inter a o024 relslionship belen e number of cars Deeribe "аня азd BAC Fam ct an anewer EdchSelett an anwer Qutlers:(Seiere a toeRe b wta te oquation of the recression lina RAC- bews c) Intarpret the sape in cantext: Far each can of heer. the model predicts the average BAC 1a inorease by Interoret he iercept in cortect The sverage peraon wto l .This ia obviousy impcssble. Here, the y-intercept serves y to adjust the height of the ine and ia meeningl ees by heelf) consumed 0 beers ia expectec to have an average BAC of an incrmese in hinne elcohol? State toa ) Do tha data provica strang aidence thet diinking mara cana of bear is aasodiatd lland altemative hypothases, rapert the p-vaue, and state your onndusion. carrelation coelficienl ur uuber of cans af beer and BAC i amd inlerure in cunles T 0.89. Calajae Interprelalion: The R value mears Uhe approximately he varisbilily in bood sloohol content can be expleined by number of cans of beer consumed c) Prodct the BAC tor somoone who consumad 5 cars ct boor. How reliabla is this pradiction? Explan hi Predct the BAC far somoone who consumad 12 cars cf been How reliable is this prediction? Explain