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§ Correlation Analysis§
Assignment
Exercise 1 Suppose the quantity sold of a good (Y) is measured against price (X) of the good sold during various weeks. Eight weeks were randomly selected over a one year of time frame. The following statistics were gathered:
Given:
x |
y |
|||
|
4.00 |
9 |
||
|
3.50 |
15 |
||
|
3.00 |
19 |
||
|
2.50 |
27 |
||
|
2.00 |
31 |
||
|
1.50 |
33 |
||
|
1.00 |
39 |
||
|
0.50 |
41 |
||
Sx = 18 |
Sy =
214
|
Sxy
= 384
|
||
Sx2
= 51
|
Sy2
= 6648
|
n = 8 |
A. Calculate the correlation coefficient using Excel and using the sums given above. What is the interpretation of r?
B. Do an hypothesis test for a negative correlation between the price and the quantity sold using Excel. Assume a 5% level of significance. State the hypotheses and describe how you reach your conclusion. (click)
Exercise 2 Suppose the quantity produced of a good (Y) is measured against price (X) of the good during various weeks. Eight weeks were randomly selected over a one year of time frame. The following statistics were gathered:
Given:
|
x |
y |
|
4.00 |
40 |
|
3.50 |
38 |
|
3.00 |
32 |
|
2.50 |
29 |
|
2.00 |
24 |
|
1.50 |
18 |
|
1.00 |
16 |
|
0.50 |
10 |
SCPxy = 91.75
SSx = 10.5
SSy = 808.875
A. Calculate the correlation coefficient using Excel and using the sums of squares given above. What is the interpretation of r?
B. Do an hypothesis test for a positive correlation between the price and the quantity sold using Excel. Assume a 5% level of significance. State the hypotheses and describe how you reach your conclusion.