For the multiple regression, report any significant regression results (using = .05 as the level of significance) involving the individual slope coefficients (i.e., again, please report these results like this [with all the blanks filled in with the appropriate values or variable names]: For the regression of y on all five of the mindfulness subscales, the slope coefficient for the subscalewas significant, b = , t(_df_) = , p = ), 95% confidence interval [ ], etc.). Discuss the extent to which the slope results for theFFMQAwarvariable are consistent (or not) with the previous corresponding bivariate regression slope results for this same variable. Find and report the multiple R²for this multiple regression and reportthe amount that it changes from the previous corresponding bivariate r². (Although note that SPSS always uses a capital R in the output even when there is only one predictor.)

Coefficients^a

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

95.0% Confidence Interval for B

B

Std. Error

Beta

Lower Bound

Upper Bound

1

(Constant)

23.916

3.597

6.649

<.001

16.795

31.037

FFMQObs

.314

.140

.231

2.249

.026

.038

.590

FFMQDesc

-.099

.100

-.095

-.991

.324

-.298

.099

FFMQAwar

-.274

.143

-.216

-1.913

.058

-.558

.010

FFMQNonj

-.095

.122

-.090

-.783

.435

-.337

.146

FFMQNonr

-.192

.192

-.130

-1.002

.318

-.573

.188

Coefficientsa
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B
B	Std. Error	Beta	Lower Bound	Upper Bound
1	(Constant)	25.195	2.471		10.195	<.001	20.304	30.086
FFMQAwar	-.349	.109	-.275	-3.199	.002	-.565	-.133