Table 4. OLS Regression for Rate of Change in Truancy

Variables	Unstandardized B	Std. Error	Standardized B
Pre-program score	.250*	(.126)	.401
Male	.461	(.649)	.025
Retained	-2.29**	(.880)	-.094
Successful case closure	9.237**	(.922)	.362
Group Membership	8.806**	(3.008)	.469
Non-white	-4.705**	(1.123)	-.145
Special education	.709	(1.150)	.022
Grade	.351	(.209)	.063
R2 = .205

*p < .05; ** p < .01

The above table examines how pre-program score, being male, retained, successful case closure, group membership, being non-white, special education, and grade predict youths' rate of change in truancy.

Successful case closure is a nominal variable that is dummy coded (successful case closure = 1; unsuccessful case closureS = 0). Please interpret the unstandardized (B) for retained. (HINT: Your answer should take into account how dummy coded variables are interpreted in regression tests).

4 points

QUESTION 25

Table 4. OLS Regression for Rate of Change in Truancy

Variables	Unstandardized B	Std. Error	Standardized B
Pre-program score	.250*	(.126)	.401
Male	.461	(.649)	.025
Retained	-2.29**	(.880)	-.094
Successful case closure	9.237**	(.922)	.362
Group Membership	8.806**	(3.008)	.469
Non-white	-4.705**	(1.123)	-.145
Special education	.709	(1.150)	.022
Grade	.351	(.209)	.063
R2 = .205

*p < .05; ** p < .01

The above table examines how pre-program score, being male, retained, successful case closure, group membership, being non-white, special education, and grade predict youths' rate of change in truancy.

Based on the standardized (B) coefficient, which predictor has the strongest relationship with youths' rate of change in truancy?

	a.	pre-program score
	b.	successful case closure
	c.	group membership
	d.	special education