In: Statistics and Probability
Recorded in the table below are the blood pressure measurements (in millimeters) for a sample of 12 adults. Does there appear to be a linear relationship between the diastolic and systolic blood pressures? At the 5% significance level, test the claim that systolic blood pressure and diastolic blood pressure have a linear relationship.
Systolic |
Diastolic |
107 |
71 |
110 |
74 |
133 |
91 |
115 |
83 |
118 |
88 |
134 |
87 |
123 |
77 |
154 |
94 |
119 |
69 |
130 |
76 |
108 |
69 |
112 |
75 |
Data Table: Blood Pressure 7
Hypotheses:
H0: Slope and Correlation are both zero
H1: Slope and Correlation are both not zero
Results:
What is the correlation coefficient? Use 4 decimal places in
answer.
r = __________
What percent of the variation of absences are explained by the
model? Round to nearest hundredth percent (i.e. 65.31%).
R2=____________
What is the equation for the regression line? Use 2 decimal places
in answers.
Diastolic = (Systolic) + _________
State the p-value. Round answer to nearest hundredth percent (i.e.
2.55%).
p-value = ________
Conclusion:
We ___________ sufficient evidence to support the claim that the
correlation coefficient and slope of the regression line are both
statistically different than zero (p_____ 0.05).
(Use “have” or “lack” for the first blank and “<” or “>” for
the second blank.)
1)
correlation coefficient r= | Sxy/(√Sxx*Syy) = | 0.7584 |
2)
R2=(r2*100) =57.51 %
Diastolic = 0.48*(Systolic) +20.75
p value = 0.43 %
We have sufficient evidence to support the claim that the correlation coefficient and slope of the regression line are both statistically different than zero ( p<0.05)