Question: Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 .734 a .539 .525 4.01409 a. Predictors: (Constant), Wrist

Model Summaryb

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.734a

.539

.525

4.01409

a. Predictors: (Constant), Wrist Circumference

b. Dependent Variable: Height

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

621.793

1

621.793

38.590

.000b

Residual

531.726

33

16.113

Total

1153.519

34

a. Dependent Variable: Height

b. Predictors: (Constant), Wrist Circumference

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

38.177

5.089

7.502

.000

Wrist Circumference

4.436

.714

.734

6.212

.000

What is the correct conclusion for testing that there is a significant correlation?

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