## Math 146 A Particular Professor Has Noticed That The Number

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: 131098977412233445Unless otherwise stated, you can round values to two decimal places. a) Use technology (such as Excel or lock5stat) to find a linear equation for P (Just enter the part after the equal sign, and use n as the variable. For example 3. 4n+15. 1P = b) Find the correlation coefficient. (use technology, such as lock5stat or Excel)r= c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear trend?A. strong linear trendB. weak linear trendC. no linear trendd) Interpret the meaning of the slope of your formula in the context of the problem e) Interpret the meaning of the P intercept in the context of the problem f) Use your regression line equation to predict the number of people that will complain about his attitude if he drinks 5 cups of coffee.

## MATH 146 A particular professor has noticed that the number

Question
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:

13 10 9 8 9 7 7 4
1 2 2 3 3 4 4 5
Unless otherwise stated, you can round values to two decimal places.

a) Use technology (such as Excel or lock5stat) to find a linear equation for P (Just enter the part after the equal sign, and use n as the variable. For example 3.4n+15.1

P =

b) Find the correlation coefficient. (use technology, such as lock5stat or Excel)

r=

c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear trend?

A.strong linear trend
B.weak linear trend
C.no linear trend

d) Interpret the meaning of the slope of your formula in the context of the problem

e) Interpret the meaning of the P intercept in the context of the problem

f) Use your regression line equation to predict the number of people that will complain about his attitude if he drinks 5 cups of coffee.