Case: A small convenience store chain is interested in modeling the weekly sales of a store, y, as a function of the weekly traffic flow on the street where the store is located. The table below contains data collected from 24 stores in the chain.
Store |
Weekly Traffic Flow (thousands of cars) |
Weekly Sales ($ thousands) |
1 |
59.3 |
6.3 |
2 |
60.3 |
6.6 |
3 |
82.1 |
7.6 |
4 |
32.3 |
3.0 |
5 |
98 |
9.5 |
6 |
54.1 |
5.9 |
7 |
54.4 |
6.1 |
8 |
51.3 |
5.0 |
9 |
36.7 |
3.6 |
10 |
23.6 |
2.8 |
11 |
57.6 |
6.7 |
12 |
44.6 |
5.2 |
13 |
75.8 |
8.2 |
14 |
48.3 |
5 |
15 |
41.4 |
3.9 |
16 |
52.5 |
5.4 |
17 |
41.0 |
4.1 |
18 |
29.6 |
3.1 |
19 |
49.5 |
5.4 |
20 |
73.1 |
8.4 |
21 |
81.3 |
9.5 |
22 |
72.4 |
8.7 |
23 |
88.4 |
10.6 |
24 |
23.2 |
3.3 |
1) Present the weekly sales vs. traffic flow scatter plot using MS Excel. Clearly label the graph elements (horizontal and vertical axes, and overall title).
Scatter plot [2marks]:
The following questions are based on ‘y = β0 + β1x +e’, the linear regression model, where y is the weekly sales and x is the traffic flow. You will be estimating this model using the Least Squares method to give the prediction equation: y=b0+b1x.
2) What value have you found for b0?
b0 = ____________________ [1 mark]
3) What value have you found for b1?
b1 = ____________________ [1 mark]
4) Write down the fitted (prediction) equation:
________________________________________ [1 mark]
5) What is the coefficient of determination (R2) for this regression model?
R2: ____________________ [1 mark]
6) The chain wants to establish a new store at a location where the weekly traffic flow is 50.4 thousand cars. Use the fitted equation to predict the weekly sales of the planned store:
____________________________________________________________ [1 mark]
Test the null hypothesis that b1 = 0 against the alternative that b1 ¹ 0. The significance level to be used is 5%.
7) What are the critical values for the test?
____________________ [2 marks]
8) Write down the value you have found for the test statistic:
____________________ [1 mark]
9) State your decision (Reject or Do not Reject the Null Hypothesis?):
____________________________________________________________ [1 mark]
10) In one sentence, what does the outcome of this hypothesis test allow you to conclude about the relationship between weekly sales and weekly traffic flow?
____________________________________________________________________________________________________
________________________________________________________________________________ [2
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