Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week. PFC Spending 1 13.17 8 38.65 3 19.49 2 9.56 4 15.85 1 21.82 5 37.53 3 13.69 α=0.05 t= 3.07 p-value= 0.022
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week. PFC Spending 1 13.17 8 38.65 3 19.49 2 9.56 4 15.85 1 21.82 5 37.53 3 13.69 α=0.05 t= 3.07 p-value= 0.022
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 81E
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Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week.
PFC
|
Spending
|
|
|
---|---|---|---|
|
1
|
13.17
|
|
|
8
|
38.65
|
|
|
3
|
19.49
|
|
|
2
|
9.56
|
|
|
4
|
15.85
|
|
|
1
|
21.82
|
|
|
5
|
37.53
|
|
|
3
|
13.69
|
α=0.05
t= 3.07
p-value= 0.022
Construct a 95% confidence interval for the population slope.
UCL
|
=
|
6.69
|
LCL
|
=
|
0.75
|
What conclusions about PFC purchases and spending can be drawn from these results?
We are 95% confident that the true regression slope is between ________ and ___________. As this interval does include/does not include zero, we have evidence/do not have evidence to conclude that there is a linear relationship between spending and the number of PSL.
(Round to two decimal places as needed.)
Choose one: does include/does not include zero
Choose one: have evidence/do not have evidence
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