A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to...

Variables Entered/Removed^a

Model

Variables Entered

Variables Removed

Method

1

Family support^b

.

Enter

a. Dependent Variable: Delinquency

b. All requested variables entered.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.249^a

.062

.062

1.59168

a. Predictors: (Constant), Family support

ANOVA^a

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

759.204

1

759.204

299.671

<>^b

Residual

11479.107

4531

2.533

Total

12238.311

4532

a. Dependent Variable: Delinquency

b. Predictors: (Constant), Family support

Coefficients^a

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

3.628

.074

48.844

.000

Family support

-.418

.024

-.249

-17.311

<>

a. Dependent Variable: Delinquency

What is the value for the intercept?

For every-one unit change in family support, what is the predicted change in delinquency?

What is the probability of seeing a value for b = -.418 when in the population the null hypothesis is true (or b = 0)?