A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period. Regression Analysis As Image: 1) Based on the simple regression analysis output, write the estimated regression equation. 2) What is the correlation coefficient between Risk of Stroke and Age? How do you find i
A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period. Regression Analysis As Image: 1) Based on the simple regression analysis output, write the estimated regression equation. 2) What is the correlation coefficient between Risk of Stroke and Age? How do you find i
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period.
1) Based on the simple regression analysis output, write the estimated regression equation.
2) What is the

Transcribed Image Text:SUMMARY OUTPUT
■ Regression Statistics
Multiple R
-R Square
Adjusted R S 0.39074551
Standard Err 11.5925455
Observations
-ANOVA
Regression
Residual
Total
-Intercept
Age
0.6502396
0.42281154
df
20
SS
MS
F
Significance F
1 1771.98202 1771.98202 13.1856546 0.00190988
18 2418.96798 134.38711
19 4190.95
t Stat
P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%|
Coefficients tandard Erro
-42.796465 19.3816482 -2.2080922 0.04045057 -83.515797 -2.0771336 -83.515797 -2.0771336-
1.00426876 0.2765662 3.63120566 0.00190988 0.42322473 1.58531279 0.42322473 1.58531279
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