Question 1 (Regression)
A researcher wants to study the relationship between the dosage of a medicine and the average response as measured on a sample of patients. The researcher collects data on the dosage and the response and records them in Minitab.
You are provided with a dataset called MedicineResponseData on Canvas, which contains the following data:
Worksheet column |
Description |
Response |
The average response of the sample of patients |
Dosage |
The dosage of medicine used |
(a) Construct a scatterplot of the data and comment on the relationship between Dosage and Response.
(b) Calculate the correlation coefficient and interpret it.
(c) Fit a model of the form , report the fitted model and interpret the value of .
(d) Calculate a 95% confidence interval for the coefficient.
(e) Test the hypothesis at the 5% level of significance:
H0:
HA:
What do the results of the hypothesis test imply for the regression model?
(f) Report and interpret the coefficient of determination.
(g) Plot the regression line onto a scatterplot of the data and plot a 95% prediction band.
(h) Plot a histogram of the residuals and comment on its shape.
(i) Report whether the assumptions of linear regression are satisfied.
Question 2 (Basic Stats and ANOVA)
A teacher wants to compare the performance of 4 classes in a certain year group. There are 6 students in each class group, and each took the same exam which was marked by the teacher. This data is recorded in the Marks_by_Class dataset on Canvas.
Worksheet column |
Description |
Class |
The Class Group: A, B, C, D |
Mark |
The Mark obtained by the student in the test |
(a) Produce summary statistics for Mark by Class and interpret your findings.
(b) Carry out a one-way ANOVA on the data to determine whether the Marks differ by Class Group.
Question 3 (Graphs and Hypothesis Tests)
A Meteorologist observes weekly rainfall and records this data in the Rainfall dataset.
Worksheet column |
Description |
Rainfall |
The rainfall each week in cm |
The historical weekly rainfall has been Normally Distributed with a mean of 100.
(a) Verify that the rainfall data is Normally Distributed.
(b) Carry out a hypothesis test of the rainfall values against the historical average rainfall at the 5% level of significance.
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