You run a simple linear regression test to determine whether body mass index (BMI) is a statistically significant predictor of systolic blood pressure (SBP). Review the test results below and determine whether each statement is an appropriate conclusion to make based on these findings.

True or false or there is not enough information

The results are statistically significant?

The p-value is .507?

SBP can predict about 50% of the variability in BMI?

There is a strong relationship between these variables?

There is a positive relationship between these variables?

SBP is a significant predictor of BMI?

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.718a	.516	.507	18.914
a. Predictors: (Constant), BMI

ANOVAa
Model	Sum of Squares	df	Mean Square	F	Sig.
1	Regression	20232.767	1	20232.767	56.558	<.001b
Residual	18959.960	53	357.735
Total	39192.727	54
a. Dependent Variable: SBP
b. Predictors: (Constant), BMI

Coefficientsa
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.
B	Std. Error	Beta
1	(Constant)	39.673	11.841		3.350	.001
BMI	3.089	.411	.718	7.521	<.001
a. Dependent Variable: SBP