Table 4.

Analysis of Covariance (Regression Equation)

Set 1
Dependent Variable (Y):	DLW average daily activity-related EE (kJ)
Independent Variable (X):	IPAQ average daily activity-related EE (kJ)
Parameter	Estimate	StdErr	p-value (t-test)
Intercept	2137.01	497.95	0.000
IPAQAEE	0.52	0.16	0.002
R2 = 0.25
Regression Line: DLWAEE = 2137 + 0.52 * IPAQ
With covariates
Intercept	-2082.47	2009.59	0.31
IPAQAEE	0.45	0.15	0.006
Male	-2589	830.44	0.017
FFM	97.37	42.24	0.028
R2 = 0.38
Regression Line: DLWAEE = -2082 + 0.45 * IPAQAEE + 2589 * sex + 97 * FFM
Set 2
Dependent Variable (Y):	DLW average daily activity-related EE (kJ)
Independent Variable (X):	NZPAQ-SF average daily activity-related EE (kJ)
Parameter	Estimate	StdErr	p-value (t-test)
Intercept	1885.39	440.40	0.0001
NZPAQAEE	1.18	0.24	0.0001
R2 = 0.38
Regression Line: DLW = 1885 + 1.18 * NZPAQAEE
Set 3
Dependent Variable (Y):	IPAQ-LF average daily activity-related EE (kJ)
Independent Variable (X):	NZPAQ-SF average daily activity-related EE (kJ)
Parameter	Estimate	StdErr	p-value (t-test)
Intercept	848.32	360.67	0.037
NZPAQAEE	1.18	0.22	0.0001
R2 = 0.47
Regression Line: IPAQ = 848 + 1.18 * NZPAQ
With covariates
Intercept	-1135.67	1080.36	0.30
NZPAQAEE	1.25	0.21	0.0001
Age	49.09	25.06	0.05
R2 = 0.53
Regression Line: IPAQAEE = -1135 + 1.25 * NZPAQAEE + 49 * Age