Palermo 0.5195** -0.0006 0.3171 0.0404 0.0262 178 (0.0382) (0.0003) (0.2618) (0.0361) Parma 0.4723** -0.0005 -0.4903 0.0565 0.0379 222 (0.0261) (0.0003) (0.2535) (0.0401) Roma 0.5152** 0.0007** -0.2301 -0.0825** 0.0324 241 (0.0248) (0.0003) (0.2385) (0.0357) Sampdoria 0.5286** -0.0008** 0.2373 0.0594 0.0621 195 (0.0274) (0.0003) (0.2511) (0.0322) Siena 0.3797** 0.0000 -0.1086 -0.0254 0.0100 169 (0.0356) (0.0003) (0.2888) (0.0383) Udinese 0.4704** -0.0002 0.1827 0.0432 0.0104 241 (0.0219) (0.0002) (0.2111) (0.0316) Interestingly, when the regressions are for home instead of for away games, the constant becomes significant for Napoli but its R2 value drops markedly. Also, the GDP variable is only significant for Bologna and the value of the coefficient shows that Bologna’s home games are strongly impacted by a change in GDP per capita. This relationship is very strange though; given the sign of the coefficient, it suggests that as GDP per capita increases, Bologna’s dominance at home strongly decreases (and vice-versa). Macroeconomic fluctuations affect the team’s home dominance counter-cyclically. Lastly, the coefficients of the constants are much higher here than for the regressions for away games, further confirming the belief that these constants are base indicators of how much each team dominates games.
Palermo 0.5195** (0.0382) -0.0006 (0.0003) 0.3171 (0.2618) 0.0404 (0.0361) 0.0262 178 Parma 0.4723** (0.0261) -0.0005 (0.0003) -0.4903 (0.2535) 0.0565 (0.0401) 0.0379 222 Roma 0.5152** (0.0248) 0.0007** (0.0003) -0.2301 (0.2385) -0.0825** (0.0357) 0.0324 241 Sampdoria 0.5286** (0.0274) -0.0008** (0.0003) 0.2373 (0.2511) 0.0594 (0.0322) 0.0621 195 Siena 0.3797** (0.0356) 0.0000 (0.0003) -0.1086 (0.2888) -0.0254 (0.0383) 0.0100 169 Udinese 0.4704** (0.0219) -0.0002 (0.0002) 0.1827 (0.2111) 0.0432 (0.0316) 0.0104 241 Interestingly, when the regressions are for home instead of for away games, the constant becomes significant for Napoli but its R2 value drops markedly. Also, the GDP variable is only significant for Bologna and the value of the coefficient shows that Bologna’s home games are strongly impacted by a change in GDP per capita. This relationship is very strange though; given the sign of the coefficient, it suggests that as GDP per capita increases, Bologna’s dominance at home strongly decreases (and vice-versa). Macroeconomic fluctuations affect the team’s home dominance counter-cyclically. Lastly, the coefficients of the constants are much higher here than for the regressions for away games, further confirming the belief that these constants are base indicators of how much each team dominates games.