1.Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The equation from a multiple regression is (V02) = 0.091*(age) - 0.069*(HR) - 0.026*(time) + 1.308. If a person is 32 years old, blood pressure of 135 bpm, and a walking time of 15 minutes, what is his/her expected maximum oxygen uptake?

A.10.995

B.-8.101

C.-6.793

D.-5.485

E. We do not know the observations in the data set, so we cannot answer that question.

2.Suppose the sales (1000s of $) of a fast food restaurant are a linear function of the number of competing outlets within a 5 mile radius and the population (1000s of people) within a 1 mile radius. The regression equation quantifying this relation is (sales) = 1.055*(competitors) + 6.186*(population) + 10.166. Suppose the sales (in 1000s of $) to be of a store that has 4 competitors and a population of 10 thousand people within a 1 mile radius are 64.994 (1000s $). What is the residual?

A.We do not know the observations in the data set, so we cannot answer that question

B.-11.252

C.11.252

D.72.246

E.-1.086