A particular professor has noticed that the number of people, P, who complain about his attitude is dependent on the number of cups of coffee, n, he drinks. From eight days of tracking he compiled the following data: People (P) 10 10 9 8 8 755 Cups of coffee (n) 1 2 2 3 3 4 5 5 Unless otherwise stated, you can round values to two decimal places. a) Using regression to find a linear equation for P(n) P(n)= b) Find the correlation coefficient T= c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear trend? strong linear trend O weak linear trend O no linear trend

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A particular professor has noticed that the number of people, P, who complain about his attitude is
dependent on the number of cups of coffee, n, he drinks. From eight days of tracking he compiled
the following data:
People (P)
Cups of coffee (n)
P(n) =
10
T =
10 9 8
2 3
1 2
b) Find the correlation coefficient
87
3 4 5 5
Unless otherwise stated, you can round values to two decimal places.
a) Using regression to find a linear equation for P(n)
strong linear trend
O weak linear trend
O no linear trend
5
55
55
c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear
trend?
Transcribed Image Text:A particular professor has noticed that the number of people, P, who complain about his attitude is dependent on the number of cups of coffee, n, he drinks. From eight days of tracking he compiled the following data: People (P) Cups of coffee (n) P(n) = 10 T = 10 9 8 2 3 1 2 b) Find the correlation coefficient 87 3 4 5 5 Unless otherwise stated, you can round values to two decimal places. a) Using regression to find a linear equation for P(n) strong linear trend O weak linear trend O no linear trend 5 55 55 c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear trend?
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