For questions 8-18, refer to the following information:In their 1992JAMAarticle "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich," Mackowiak, Wasserman and Levine examined whether body temperatures (degrees Fahrenheit) can be predicted by heart rate (beats per minute). Think about it. When you have a fever, do you have a higher heart rate? Could a higher heart rate be a mechanism of the body to generate higher body temperatures? The researchers generated the following results using SAS software; however, they do not know how to interpret any of the output. Confident of your statistical abilities, they have come to you with their output and a list of questions. It's now your job to help them interpret their output. Don't let them down!

Q 8

Question 8

What type of analysis is this?(1 point)

Select one:

a. Two-sample t-test

b. Paired t-test

c. Simple linear regression

d. Multiple linear regression

e. Contingency table analysis

Q 9

Question 9

What are the independent and dependent variables?(1 point)

Select one:

a. Dependent variable is unknown, independent variable = body temperature

b. Dependent variable is unknown, independent variable = heart rate

c. Dependent variable = heart rate, independent variable = body temperature

d. Dependent variable = body temperature, independent variable = heart rate

e. Variable order does not matter here, i.e. (x,y) is the same as (y,x). Either body temperature or heart rate can be the independent variable. The other is then the dependent variable.

Q 10

Question 10

What are the most appropriate null and alternative hypotheses for this analysis?(1 point)

Select one:

a. H0:b0= 0, H1:b0 0

b. H0:b1= 0, H1:b1 0

c. H0:0= 0, H1:0 0

d. H0:1= 0, H1:1 0

e. H0:= 0, H1: 0

Q 11

Question 11

What is the size of our sample?(1 point)

Select one:

a. 1

b. 128

c. 129

d. 130

e. Cannot be determined from the given information