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Data values in the following study are taken from Statistical Abstract of the United States, U.S. Department of Commerce, 103rd and 109th Editions (see Table 9-16). All data values represent annual averages as determined by the U.S. Department of Commerce.
1. Construct a regression model with Response variable: x3 (foreign investments) Explanatory variables: x5 (GNP), x6 (U.S. dollar), and x7 (consumer credit)
|
TABLE 9-16 Economic Data, 1976–1987 (on the data disk) |
|||||||
|
Year |
x1 |
x2 |
x3 |
x4 |
x5 |
x6 |
x7 |
|
1976 |
10.9 |
7.61 |
31 |
974.9 |
1718 |
1.757 |
234.4 |
|
1977 |
12.0 |
7.42 |
35 |
894.6 |
1918 |
1.649 |
263.8 |
|
1978 |
12.5 |
8.41 |
42 |
820.2 |
2164 |
1.532 |
308.3 |
|
1979 |
17.7 |
9.44 |
54 |
844.4 |
2418 |
1.380 |
347.5 |
|
1980 |
28.1 |
11.46 |
83 |
891.4 |
2732 |
1.215 |
349.4 |
|
1981 |
35.6 |
13.91 |
109 |
932.9 |
3053 |
1.098 |
366.6 |
|
1982 |
31.8 |
13.00 |
125 |
884.4 |
3166 |
1.035 |
381.1 |
|
1983 |
29.0 |
11.11 |
137 |
1190.3 |
3406 |
1.000 |
430.4 |
|
1984 |
28.6 |
12.44 |
165 |
1178.5 |
3772 |
0.961 |
511.8 |
|
1985 |
26.8 |
10.62 |
185 |
1328.2 |
4015 |
0.928 |
592.4 |
|
1986 |
14.6 |
7.68 |
209 |
1792.8 |
4240 |
0.913 |
646.1 |
|
1987 |
17.9 |
8.38 |
244 |
2276.0 |
4527 |
0.880 |
685.5 |
We will use the following notation:
x1 = price of a barrel of crude oil, in dollars per barrel
x2 = percent interest on 10-year U.S. Treasury notes
x3 = total foreign investments in U.S., in billions of dollars
x4 = Dow Jones Industrial Average (DJIA)
x5 = Gross National Product, GNP, in billions of dollars
x6 = purchasing power of U.S. dollar with base 1983 corresponding to $1.000
x7 =consumer credit (i.e., consumer debt), in billions of dollars
What is the coefficient of multiple determination?
(a) Use a 1% level of significance and test each coefficient for significance (two-tailed test).
(b) Examine the coefficients of the regression equation. Then explain why you think the following statement is true or false: “If the purchasing power of the U.S. dollar did not change and the GNP did not change, then an increase in consumer credit would likely be accompanied by a reduction in foreign investments.”
(c) Suppose x5= 3500, x6= 0.975, and x7= 450.Predict the level of foreign investment. Find a 90%confidence interval for your prediction.
2. Construct a new regression model with Response variable: x4 (DJIA) Explanatory variables: x3 (foreign investments), x5
(GNP), and x7 (consumer credit) What is the coefficient of multiple determination?
(a) Use a 5% level of significance and test each coefficient for significance (two-tailed test).
(b) Examine the coefficients of the regression equation; then explain why you think the following statement is true or false: “If the GNP and consumer credit didn’t change but foreign investments increased, the DJIA would likely show a
strong increase.”
(c) Suppose x3= 210, x5= 4260, and x7= 650.Predict the DJIA and find an 85% confidenceinterval for your prediction.
Construct a new regression model with Response variable: x7 (consumer credit) Explanatory variables: x3 (foreign investments), x5 (GNP), and x6 (U.S. dollar) What is the coefficient of multiple determination?
(a) Use a 1% level of significance and test each coefficient for significance (two-tailed test).
(b) Examine the coefficients of the regression equation; then explain why you think each of the following statements is true or false: “If both GNP and purchasing power of the U.S. dollar didn’t change, then an increase in foreign investments would likely be accompanied by a reduction in consumer credit.” “If both foreign investments and purchasing power of the U.S. dollar remained fixed, then an increase in GNP would likely be accompanied by an increase in consumer credit.”
(c) Suppose x3= 88, x5= 2750, and x6= 1.250.Predict consumer credit and find an 80% confidenceinterval for your prediction.
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