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 |
157 |
103 |
134 |
87 |
119 |
69 |
108 |
69 |
118 |
88 |
113 |
77 |
116 |
70 |
112 |
75 |
105 |
66 |
123 |
77 |
130 |
76 |
Data Table: Blood Pressure 8
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.)
using excel>data>data analysis>Regression
we have
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.858112 | |||||
R Square | 0.736356 | |||||
Adjusted R Square | 0.709992 | |||||
Standard Error | 5.705367 | |||||
Observations | 12 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 909.1545 | 909.1545 | 27.92997 | 0.000355 | |
Residual | 10 | 325.5122 | 32.55122 | |||
Total | 11 | 1234.667 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 2.5216 | 14.25129 | 0.176938 | 0.863089 | -29.2323 | 34.27546 |
Systolic | 0.622566 | 0.117801 | 5.284881 | 0.000355 | 0.360089 | 0.885044 |
Hypotheses:
H0: Slope and Correlation are both zero
H1: Slope and Correlation are both not zero
Results:
the correlation coefficient
r =0.8581
the variation of absences are explained by the model
R2=73.64
What is the equation for the regression line? Use 2 decimal places
in answers.
Diastolic = 0.62(Systolic) +2.52
State the p-value. Round answer to nearest hundredth percent (i.e.
2.55%).
p-value =0.00
Conclusion:
We have sufficient evidence to support the claim that the
correlation coefficient and slope of the regression line are both
statistically different than zero