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)?
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.
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Variables Entered/Removeda |
|||
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Model |
Variables Entered |
Variables Removed |
Method |
|
1 |
Family supportb |
. |
Enter |
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a. Dependent Variable: Delinquency |
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b. All requested variables entered. |
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Model Summary |
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Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.249a |
.062 |
.062 |
1.59168 |
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a. Predictors: (Constant), Family support |
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ANOVAa |
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Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
759.204 |
1 |
759.204 |
299.671 |
<.001b |
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Residual |
11479.107 |
4531 |
2.533 |
|
|
|
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Total |
12238.311 |
4532 |
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|
|
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a. Dependent Variable: Delinquency |
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b. Predictors: (Constant), Family support |
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Coefficientsa |
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Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
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|
B |
Std. Error |
Beta |
||||
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1 |
(Constant) |
3.628 |
.074 |
|
48.844 |
.000 |
|
Family support |
-.418 |
.024 |
-.249 |
-17.311 |
<.001 |
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a. Dependent Variable: Delinquency |
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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)? |
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