AP Statistics- LSRL practiceWorksheet 8D
1)There is some evidence that drinking moderate amounts of wine helps prevent heart attacks. The following scatterplot shows data on the yearly wine consumption (liters of alcohol from drinking wine, per person) and yearly deaths from heart disease (deaths per 100,000 people) in 19 developed nations.
a)Describe the scatterplot.
b)Does a linear model seem appropriate? Why?
c)Calculate the LSRL.
d)What would be the units of the slope?
e)Interpret the slope in context of the problem.
f)If a country had a yearly wine consumption of 4.2 liters per person, what would your model predict for the deaths from heart disease for that country?
g)If the actual number of deaths from heart disease for the country in #6 is 173, what is the residual? Did the model overestimate or underestimate the actual value?
h)If a country had a yearly wine consumption of 15.3 liters per person, what would your model predict for the deaths from heart disease for that country? How confident are you in this prediction?
i)Find the coefficient of determination and interpret it in context of the problem.
2)Below is the output for predicting Touchdowns from Attempts for NCAA Quarterbacks in 2006.
3)An insurance company conducts a survey of 15 of its life insurance agents. The average number of minutes spent with each potential customer and the number of policies sold in a week are noted for each agent. The mean and standard deviation for the number of minutes is 25 and 4.34. The mean and standard deviation for the number of sales is 12 and 2.70. The correlation coefficient is .8836.
a)Find the LSRL with minutes as the explanatory variable and policies as the response variable.
b)Find the LSRL with minutes as the response variable and policies as the explanatory variable.
AP Statistics- LSRL practiceWorksheet 8D
1)There is some evidence that drinking moderate amounts of wine helps prevent heart attacks. The following scatterplot shows data on the yearly wine consumption (liters of alcohol from drinking wine, per person) and yearly deaths from heart disease (deaths per 100,000 people) in 19 developed nations.
a)Describe the scatterplot.
b)Does a linear model seem appropriate? Why?
c)Calculate the LSRL.
d)What would be the units of the slope?
e)Interpret the slope in context of the problem.
f)If a country had a yearly wine consumption of 4.2 liters per person, what would your model predict for the deaths from heart disease for that country?
g)If the actual number of deaths from heart disease for the country in #6 is 173, what is the residual? Did the model overestimate or underestimate the actual value?
h)If a country had a yearly wine consumption of 15.3 liters per person, what would your model predict for the deaths from heart disease for that country? How confident are you in this prediction?
i)Find the coefficient of determination and interpret it in context of the problem.
2)Below is the output for predicting Touchdowns from Attempts for NCAA Quarterbacks in 2006.
3)An insurance company conducts a survey of 15 of its life insurance agents. The average number of minutes spent with each potential customer and the number of policies sold in a week are noted for each agent. The mean and standard deviation for the number of minutes is 25 and 4.34. The mean and standard deviation for the number of sales is 12 and 2.70. The correlation coefficient is .8836.
a)Find the LSRL with minutes as the explanatory variable and policies as the response variable.
b)Find the LSRL with minutes as the response variable and policies as the explanatory variable.