Need help solving please

3. A long debate has been going on for many years as to the need to prescribe heavy doses of aspirin to relieve headaches. A recent study conducted a blind test where each patient with a headache was given similar looking pills but with different amounts of aspirin in each pill. The patients were asked to document the time it took for the headache to go away. Detail records were kept depicting exactly how much aspirin (X mg.) was given to each patient and the time (Y hours) until their headache went away. This data was given to a statistics student at North Texas State to analyze but all they knew how to do was to plug the data into a regression package but knew nothing about how to analyze or interpret the results. The results of the regression Y = Bo + 31*X is shown on the last page. [you may tear off this page to assist you in answering the following questions]. a. What model was found. [Y = a + b*X] or [Time = a + b*(Amount of Aspirin)]. Write down the model you found which should help you predict the amount of time until your headache goes away as a function of the amount of aspirin taken. b. Test the hypothesis at a 5% level of significance that the amount of aspirin taken is significant with respect to predicting the time until their headache goes away. Provide complete justification for your answer using the attached output. Ho: B1 = 0 Ha: B1 = 0 c. How much of the variability in "Time until headache goes away" is explained by your model? d. Draw the linear regression fitted to this data [part a above] on the following scatter diagram of the data