id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajceb-1591	Ng, Andy K.W; Price, Andrew D.F	Optimizing the Time Performance of Subcontractors in Building Projects	2010	13	.pdf	application/pdf	5602	176	38	Time performance = a + b1SCP1 + b2SCP2+ b3SCP3+ b4SCP4+ b5SCP5+ b6SCP6 Where SCPi (critical site coordination problems) are the independent variables Time performance is the dependent variable a is a constant which is the y-intercept bi is the partial regression coefficient for SCP Equation 1: Form of multiple regression equation Some of the variables of the regression equations can be eliminated without having significant impact to the accuracy of the regression equations. Model Regression equation Time-Str-1 Time = 12.299 - 0.350xSCP1 - 0.421xSCP2 - 0.420xSCP3 + 0.117xSCP4 + 0.119xSCP5 - 0.155xSCP6 Time-Str-2 Time = 12.542 - 0.314xSCP1 - 0.403xSCP2 - 0.422xSCP3 + 0.127xSCP4 - 0.137xSCP6 Time-Str-3 Time = 12.658 - 0.285x SCP1 - 0.352x SCP2 - 0.393xSCP3 - 0.114xSCP6 Time-Str-final Time = 12.227 - 0.271x SCP1- 0.407xSCP2 - 0.394xSCP3 Table 14 Regression equations of Time-Str model Explaining the variability for Time-Str model Table 15 shows that the four stage equations of Time-Str model are very strongly related to time performance as their R values are above 0.8.	cache/ajceb-1591.pdf	txt/ajceb-1591.txt