The manager of a Barrier Reef resort wished to know the major
determinants of the average daily expenditure by tourists (measured
in dollars). From interviews with 16 tourists who have stayed at
Great Barrier Reef holiday resorts, data on the size of the group,
the length of stay in the region (measured in days), the number of
resorts visited and the number of holidays they have had in the
last five years. The partially completed ANOVA table for the
regression model using all the variables on which data was
collected is given below:
Source of variation | df | SS | MS |
Regression | A | D | F |
Error | B | E | 242.7 |
Total | C | 13594.4 |
Assume that a 0.005 level of significance has been adopted for the
test of the overall significance of the relationship.
1. Calculate the test statistic, reporting your answer correct to
two decimal places.
2. Use the tables in the text to determine the critical value for
the test.
3. Is the null hypothesis rejected for this test? Type yes or
no.
4. Hence, on the basis of this test, is at least one of group size,
the length of stay, the number of resorts visited and the number of
holidays taken related to average daily expenditure by tourists?
Type yes or no.
Answer :
Given that :
No.of tourists n = 16
From the table
Source of variation | DF | SS | MS |
Regression |
= 5 - 1 = 4 |
= 13594.9 - 2669.7 = 10924.7 |
= 10924.7 / 4 = 2731.175 |
Error |
= 16 - 5 = 11 |
= 11 * 242.7 = 2669.7 |
242.7 |
Total |
= 11+4 = 15 |
13594.4 |
1)Test statistic F = MS Regression / MS error
= 2731.175 / 242.7
= 11.25
F = 11.25
2)From the F critical value table :
F critical value = 6.8809
3)YES
The null hypothesis is rejected.
4)YES
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