[Retracted] A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Table 2

Parameter estimates and relevant statistics of the logistic regression model.

		Estimate	Std. error	z value	Pr	Signif. codes
Month one
	β0	0.8978	0.1552	5.783	7.33E − 09
	β1	3.662	0.8292	4.416	1.00E − 05
	β2	−3.1082	1.1399	−2.727	0.00639
	β3	−13.617	1.1765	−11.574	<2e − 16
	β4	−2.8788	0.1826	−15.767	<2e − 16
	β5	2.734	0.9403	2.907	0.00364
Month two
	β0	0.1044	0.1666	0.627	5.31E − 01
	β1	4.0571	0.9981	4.065	4.81E − 05
	β2	−1.811	0.876	−2.067	3.87E − 02
	β3	−12.289	0.9594	−12.809	<2e − 16
	β4	−1.1949	0.2138	−5.588	2.30E − 08
	β5	1.9744	1.1587	1.704	8.84E − 02	.
Month three
	β0	1.056	0.2019	5.23	1.69E − 07
	β1	16.697	4.3928	3.801	1.44E − 04
	β2	−7.1294	1.487	−4.795	1.63E − 06
	β3	−18.9864	1.0119	−18.763	<2e − 16
	β4	−1.5714	0.2313	−6.794	1.09E − 11
	β5	2.234	1.0505	2.127	3.35E − 02

Signif. codes: 0 “,” 0.001 “,” 0.01 “,” and 0.05 “.”.