Period | Price | Quantity |
1 | $4.65 | 33 |
2 | $4.67 | 30 |
3 | $4.62 | 35 |
4 | $4.59 | 40 |
5 | $4.57 | 43 |
6 | $4.58 | 40 |
7 | $4.55 | 50 |
8 | $4.50 | 52 |
9 | $4.52 | 49 |
10 | $4.50 | 53 |
11 | $4.43 | 57 |
12 | $4.45 | 55 |
13 | $4.42 | 59 |
14 | $4.40 | 64 |
15 | $4.44 | 60 |
16 | $4.37 | 70 |
17 | $4.35 | 72 |
18 | $4.32 | 75 |
19 | $4.37 | 80 |
20 | $4.26 | 88 |
Given the data provided to you in class, use the regression toll in Excel to perform a regression on Y and X
a) what is the vertical intercept and slope of the regression equation?
b) is the equation consistent with the law of demand or the law of supply?
c) is the X variable statstically significant at the 5% level? why or why not?
d) how much of the variation in Y dose X explain?
a. The estimated equation is : P = 4.86 - 0.007 Quantity.
Thus, vertical intercept is 4.86 and slope of the regression equation is 0.007.
b. Yes, the equation shows a negative relation between price and quantity demanded of the product and thus it satisfies law of demand.
c. Since t value is 19 which is greater than tabulated value of t. Thus, X variable is statistically significant at the 5 per cent level.
d. The value of R squared is 95.91 per cent and thus around 95 per cent of the variations in Y are explained by the variations in X.
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