Reference no: EM132388578

Upload Exercise data, make a chart with y-axis being the age, and answer the questions below.

I) Plot the chart and the fitted line. What is the slope and what is its interpretation?

•  a. 0.68; for every extra hour of exercise the person increases weekly exercise by 1 hour 
•  b. 0.68; more exercise pushes the cancer detection back 
•  c. 0.68; for person who exercise zero hours a week the age of detection is 0.68. 
•  d. 0.68; for every weekly hour of exercise the age of detection increases by 0.68 years 
•  e. None of the choices. 

II) The fitted line exhibits positive or negative slope? Prior to getting the p-value is this potentially good news or bad news for the fight against cancer and why?

•  a. Positive slope; potentially bad news since it predicts more cancers. 
•  b. Positive slope; bad news; the more one exercise the likelier to get the cancer 
•  c. None of the choices. 
•  d. Positive slope; potentially good news, the more you exercise the later cancer is detected 
•  e. Negative slope; bad news; it seems that exercise does not help fight against cancer 

III) Create a regression table. What is the P-value related to weekly hours exercising? How does this P-value affect the conclusion of this study?

•  a. P-Val=0.059 which is too large and study is inconclusive 
•  b. P-Val=1.14 which is excellent 
•  c. P-Val=0.35 which is too large and study is inconclusive. 
•  d. P-Val=0.059 which is small enough and study is confirmed. 
•  e. None of the choices