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Table 5.19 Presidential Election Data (1916-1996)
Ycar V I D W
1916 0.5168 1920 0.3612 1924 0.4176 1928 0.4118 1932 0.5916 1936 0.6246 1940 0.5500 1944 0.5377 1948 0.5237 1952 0.4460 1956 0.4224 1960 0.5009 1964 0.6134 1968 0.4960 1972 0.3821 1976 0.5105 1980 0.4470 1984 0.4083 1988 0.4610 1992 0.5345 19% 0.5474
0 - 0 - 1 0 - 0 0 - 0 -t 0 -1
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2.229 4.252 3 -11.463 16.535 5 -3.872 5.161 10 4,623 0.183 7 -14.901 7.069 4 11.921 2.362 9 3.708 0.028 8 4.119 5.678 14 1.849 8.722 5 0.627 2.288 6 -1.527 1.936 5 0.114 1.932 5 5.054 1.247 10 4.836 3.215 7 6.278 4.766 4 3.663 7.657 4 -3.789 8.093 5 5.387 5.403 7 2.068 3.272 6 2.293 3.692 1 2.918 2.268 3
Then an alternative to the model in (5.11) is
V = t10+01/+air1 +a2D2 +1/3W+04(G-.0 +AP+ /36N + e. (5.12)
(a) Write the regression model corresponding to each of the three possible values of D in (5.12) and interpret the regression coefficients of DI and D2. (b) Show that the model in (5.11) can be obtained as a special case of the model in (5.11) by assuming that at = -o2. (c) Do the data in Table 5.19 support the assumption that at = -027 5.11 Use the data given in Table 1.10 (A description of the data is found in Section 13_61
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2016-12-05
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