Table 5.

Ordinary Least Squares Regression (OLS) results about funding urban tree program.

	Planting Y₁¹ Est. (std. err)	Maintenance Y₁² Est. (std. err)	Debris removal Y₁³ Est. (std. err)	Tree removal Y₁⁴ Est. (std. err)
Intercept	−46.51^{^z}	−25.47	−9.96	−5.57
	(16.89)	(16.52)	(15.43)	(16.12)
X1	0.74^{^z}	0.64^{^z}	0.66^{^z}	0.41y
	(0.19)	(0.19)	(0.18)	(0.18)
X2	0.03^{^x}	0.01	0.02	0.03^{^x}
	(0.01)	(0.01)	(0.01)	(0.01)
X3	−0.04	−0.02	0.02	0.02
	(0.03)	(0.03)	(0.03)	(0.03)
X4	3.73^{^y}	2.10	0.38	0.12
	(1.64)	(1.61)	(1.51)	(1.57)
X5	−0.21^{^z}	−0.11^{^x}	−0.13^{^y}	−0.12^{^y}
	(0.06)	(0.06)	(0.05)	(0.05)
X6	0.39^{^z}	0.43^{^z}	0.26^{^z}	0.32^{^z}
	(0.08)	(0.08)	(0.07)	(0.07)
X7	0.21^{^y}	0.28^{^z}	0.24^{^y}	0.26^{^y}
	(0.11)	(0.10)	(0.10)	0.11
X8	0.68^{^y}	0.43	0.33	0.33
	(0.32)	(0.31)	(0.30)	(0.32)
X9	2.19^{^z}	2.04^{^z}	0.88^{^y}	1.26^{^z}
	(0.43)	(0.42)	(0.39)	(0.42)
F-statistic	19.14	17.00	9.37	9.64
R²	0.26	0.23	0.15	0.15
N	610	610	610	610