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Testing the Permanence of the Permanent Campaign: An Analysis of Presidential Polling Expenditures, 1977-2002
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Table 2. Assessing Regression Fits
Durbin-
Months with Outlier
R
2
, Outliers
R
2
F
3,44
p(F)
Watson
Residuals (z > 3.00)
Added as Dummies
Carter
.274
5.53
.003
1.64
46
.714
Reagan I
.070
1.10
.361
2.31
38
.430
Reagan II
.067
1.05
.381
2.41
16, 36
.500
G.H.W. Bush
.036
.54
.657
1.51
None
N / A
Clinton I
.058
.90
.449
2.73
24
.288
Clinton II
.255
5.01
.005
1.70
46
.675
Note: The five percent significance points of D-W
upper
and D-W
lower
are 1.67 and 1.40 for positive serial correlation and 2.60 and 2.33 for negative serial
correlation. Only in the Clinton I model is there evidence of significant negative serial correlation; nearly identical results are obtained when a Cochrane-OrcuttAR(1) regression is fit to control for this serial correlation.
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| | Authors: McCann, Jay. and Tenpas, Kathryn. |
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Table 2. Assessing Regression Fits
Durbin-
Months with Outlier
R
2
, Outliers
R
2
F
3,44
p(F)
Watson
Residuals (z > 3.00)
Added as Dummies
Carter
.274
5.53
.003
1.64
46
.714
Reagan I
.070
1.10
.361
2.31
38
.430
Reagan II
.067
1.05
.381
2.41
16, 36
.500
G.H.W. Bush
.036
.54
.657
1.51
None
N / A
Clinton I
.058
.90
.449
2.73
24
.288
Clinton II
.255
5.01
.005
1.70
46
.675
Note: The five percent significance points of D-W
upper
and D-W
lower
are 1.67 and 1.40 for positive serial correlation and 2.60 and 2.33 for negative serial
correlation. Only in the Clinton I model is there evidence of significant negative serial correlation; nearly identical results are obtained when a Cochrane-Orcutt AR(1) regression is fit to control for this serial correlation.
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