The SAS output required to analyse the data for this study is shown below the questions to be answered. FOR EACH QUESTION THAT REFERS TO THE OUPUT PUT THE QUESTION # (eg 1(h) ) AGAINST THE RELEVANT OUTPUT.
statistics
Description
Kidney failure patients are commonly treated on dialysis machines that filter toxic substances from the
blood. The appropriate “dose” for effective treatment depends, among other things, on the duration of
treatment and weight gain between treatments as a result of fluid buildup. To study the effects of thse
two factors on the number of days hospitalized (attributable to the disease during a year, a random
sample of 10 patients per group who had undergone treatment at a large dialysis centre was obtained.
Treatment duration (factor A) was categorized into two groups: short duration (average dialysis for the
year under 4 hours) and long duration: average dialysis time for year greater than or equal to 4 hours).
Average weight gain between treatments (factor B) during the year was categorized into 3 groups:
slight, moderate, and substantial. The data on number of days hospitalized was recorded.
The SAS output required to analyse the data for this study is shown below the questions to be answered.
FOR EACH QUESTION THAT REFERS TO THE OUPUT PUT THE QUESTION # (eg 1(h) )
AGAINST THE RELEVANT OUTPUT.
a) Give the model that was fitted. The residuals were plotted against the fitted values. What would you conclude?
b) Carry out a Brown-Forsythe test
c) Use the following SAS printout to verify that the Ln transformation seems to be the most
appropriate one for these data
