Sixteen student volunteers at Ohio State University drank a randomly assigned nu

Question

Sixteen student volunteers at Ohio State University drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their blood alcohol content (BAC) in grams of alcohol per deciliter of blood. Given is a scatterplot displaying the relationship between BAC and number of cans of beer as well as the linear model for predicting BAC. If the student who drank the most number of beers (9 beers) actually had a BAC of 0.15 grams/deciliter, how would the strength of the association change?

A)Decrease

B)Stay the same

C)Increase

What would be the answer? I know it is not A.

Also,

7.36 Beer and blood alcohol content: 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 (Malkevitc and Lesser, 2008). The scatterplot and regression table summarize the findings.

The p-value for the test is: pp 0

The result of this hypothesis test is:

A)the more cans of beer you drink, the higher your BAC

B)number of cans of beer drank is a significant predictor of BAC

C)number of cans of beer drank is not a significant predictor of BAC

What would be the answer? I know it is not A.

Estimate Std. Error t value P(>|t|) (Intercept) -0.0127 0.0126 -1.00 0.3320 beers 0.0180 0.0024 7.48 0.0000 0.15 0.10 fin 0.05 2 4 Cans of beer 6 8

Explanation / Answer

Since the scatterplot is showing a positive line, the answer is increases. Option C

From the output, p - value is 0 so we can conclude that the slope is significant. Hence,

number of cans of beer drank is a significant predictor of BAC. Option B

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