(Step-by-Step) Starting with the data from Problem 6 and the data on the price of a related commodity for the years 1986-2005 given below, we estimated


Question: Starting with the data from Problem 6 and the data on the price of a related commodity for the years 1986-2005 given below, we estimated the regression for the quantity demanded of a commodity on the price of the commodity, consumer income, and the price of the related commodity, and we obtained the following results.

Data from Problem 6

Year Y X1 X1
1986 72 $10 $2,000
1987 81 9 2,100
1988 90 10 2,210
1989 99 9 2305
1990 108 8 2407
1991 126 7 2500
1992 117 7 2610
1993 117 9 2698
1994 135 6 2801
1995 135 6 2921
1996 144 6 3,000
1997 180 4 3,099
1998 162 5 3,201
1999 171 4 3,308
2000 153 5 3,397
2001 180 4 3,501
2002 171 5 3,689
2003 180 4 3,800
2004 198 4 3,896
2005 189 4 3,989

Data from Problem 15

Year
Pz($)
1986
14
1987
15
1988
15
1989
16
1990
17
Year
Pz ($)
1991
18
1992
17
1993
18
1994
19
1995
20
Year
Pz ($)
1996
20
1997
19
1998
21
1999
21
2000
22
Year
Pz ($)
2001
23
2002
23
2003
24
2004
25
2005
25

Qx= 121.86-9.50Px +0.04Y-2.21Pz

(-5.12) (2.18) (-0.68)

R2=0.9633 F=167.33 D-W=2.38

(b) evaluate the above regression results…evaluate the above regression results in terms of the signs of the coefficients, the statistical significance of the coefficients and the explanatory power of the regression. The number in parentheses below the estimated slope coefficients refer to the estimated t values. The rule of thumb for testing the significance of the coefficients is if the absolute t value is greater than 2, the coefficient is significant, which means the coefficient is significantly different from zero

(c) Are X and Z complementary or substitute?

Price: $2.99
Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document

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