(2 points) Many people believe that gender, weight, drinking habits, and many ot
ID: 3059211 • Letter: #
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(2 points) Many people believe that gender, weight, drinking habits, and many other factors are much more important in predicting blood alcohol content (BAC) than simply considering the number of drinks a person consumed. Here we examine data from sixteen student volunteers at Ohio State University who each drank a randomly assigned number of cans of beer. These students were evenly divided between men and women, and they differed in weight and drinking habits. Thirty minutes later, a police officer measured their blood alcohol content (BAC) in grams of alcohol per deciliter of blood. The scatterplot and regression table summarize the findings. 0.15 0.10 0.05 Cans of beer EstimateStd t value Pr lt) (Intercept) -0.0137 0.0139-1.48 0.3991 beers 0.010.0077 7.83 0 The relationship between number of beers consumed and BAC is... (enter either WEAK, MODERATE, or STRONG) (enter either POSITIVE or NEGATIVE) (enter either LINEAR or NON LINEAR) (b) Write the equation of the regression line for predicting height. xbeers (c) For each additional can of beer consumed, the model predicts an additional grams per deciliter BAC . This value can be interpreted as how much BAC drops in the time Students who don't have any beer are expected to have a blood alcohol content of between drinking the beers and when BAC is measured 0 (d) The correlation coefficient for number of cans of beer and BAC is 0.83. The R2 value is Approximately % of the variation in blood alcohol content is accounted for by the model, i.e., explained by the number of cans of beer consumed.Explanation / Answer
(2 points) Many people believe that gender, weight, drinking habits, and many other factors are much more important in predicting blood alcohol content (BAC) than simply considering the number of drinks a person consumed. Here we examine data from sixteen student volunteers at Ohio State University who each drank a randomly assigned number of cans of beer. These students were evenly divided between men and women, and they differed in weight and drinking habits. Thirty minutes later, a police officer measured their blood alcohol content (BAC) in grams of alcohol per deciliter of blood. The scatterplot and regression table summarize the findings. 0.15 0.10 0.05 Cans of beer EstimateStd t value Pr lt) (Intercept) -0.0137 0.0139-1.48 0.3991 beers 0.010.0077 7.83 0 The relationship between number of beers consumed and BAC is... (enter either WEAK, MODERATE, or STRONG) (enter either POSITIVE or NEGATIVE) (enter either LINEAR or NON LINEAR) (b) Write the equation of the regression line for predicting height. xbeers (c) For each additional can of beer consumed, the model predicts an additional grams per deciliter BAC . This value can be interpreted as how much BAC drops in the time Students who don't have any beer are expected to have a blood alcohol content of between drinking the beers and when BAC is measured 0 (d) The correlation coefficient for number of cans of beer and BAC is 0.83. The R2 value is Approximately % of the variation in blood alcohol content is accounted for by the model, i.e., explained by the number of cans of beer consumed.
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