Hello everyone
I am running multiple regressions and sometimes I don't get a value by F(X , X), see regression 3. I assume I can't interpret my results then?
Is there something I can do to resolve this?
OUTPUT:
regression 1:
. reg hirinv $X_CC_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(14, 173) = 10.97
Prob > F = 0.0000
R-squared = 0.1114
Root MSE = 2.3081
(Std. err. adjusted for 174 clusters in id_resp)
regression 2:
reg hirinv $X_CC_nref $X_VC_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(19, 173) = 9.59
Prob > F = 0.0000
R-squared = 0.2170
Root MSE = 2.1729
(Std. err. adjusted for 174 clusters in id_resp)
regression 3:
reg hirinv $X_CC_nref $X_RP_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(36, 173) = .
Prob > F = .
R-squared = 0.2477
Root MSE = 2.1554
(Std. err. adjusted for 174 clusters in id_resp)
Thank you in advance!
I am running multiple regressions and sometimes I don't get a value by F(X , X), see regression 3. I assume I can't interpret my results then?
Is there something I can do to resolve this?
OUTPUT:
regression 1:
. reg hirinv $X_CC_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(14, 173) = 10.97
Prob > F = 0.0000
R-squared = 0.1114
Root MSE = 2.3081
(Std. err. adjusted for 174 clusters in id_resp)
regression 2:
reg hirinv $X_CC_nref $X_VC_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(19, 173) = 9.59
Prob > F = 0.0000
R-squared = 0.2170
Root MSE = 2.1729
(Std. err. adjusted for 174 clusters in id_resp)
regression 3:
reg hirinv $X_CC_nref $X_RP_nref, cluster (id_resp)
Linear regression Number of obs = 870
F(36, 173) = .
Prob > F = .
R-squared = 0.2477
Root MSE = 2.1554
(Std. err. adjusted for 174 clusters in id_resp)
Thank you in advance!

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