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 analyze the relationship. The results are presented below. Variables Entered/RemovedaModelVariables EnteredVariables RemovedMethod1Family supportb.Enter a. Dependent Variable: Delinquencyb. All requested variables entered. Model SummaryModelRR SquareAdjusted R SquareStd. Error of the Estimate1.249a.062.0621.59168 a. Predictors: (Constant), Family support ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression759.2041759.204299.671<.001bResidual11479.10745312.533 Total12238.3114532 a. Dependent Variable: Delinquencyb. Predictors: (Constant), Family support CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta1(Constant)3.628.074 48.844.000Family support-.418.024-.249-17.311<.001 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)?

Regression analysis1) The value of intercept is 3.628, which is the value of delinquency when family support is 0. 2) Fro every one unit increase in family support, delinquency is expected to decrease by 0.418. 3) The P value for coefficient of family support is <0.001. Hence probability of seeing a value for b = -.418 when in the population the null hypothesis is true is almost 0.

Answered: What is the value for the intercept?…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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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 analyze the relationship. The results are presented below.

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	<.001^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	<.001