Question

In: Statistics and Probability

A 10-year study conducted by the American Heart Association provided data on how age, blood pressure,...

A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker.

Risk Age Pressure Smoker
12 57 151 No
24 67 164 No
13 58 156 No
56 86 178 Yes
28 59 197 No
51 76 187 Yes
18 56 156 Yes
31 78 122 No
37 80 137 Yes
15 78   95 No
22 71 150 No
36 70 171 Yes
15 67 135 Yes
48 77 207 Yes
15 60 199 No
36 82 119 Yes
8 66 168 No
34 80 127 Yes
3 62 116 No
37 59 208 Yes

a. Develop an estimated regression equation that relates risk of a stroke to the person’s age, blood pressure, and whether the person is a smoker.

Please round your answers to three decimal places. Enter negative value as negative number.

Risk = ___ + ___ Age + ___ Pressure + ___ Smoker

b. Is smoking a significant factor in the risk of a stroke? Explain. Use Alpha = .05.

Compute the t-test statistic for the significance of smoking (to 2 decimals). Use t table.

_____

The P-value is [- Select your answer-] (less than .01, between .01 and .025, between .025 and .05, between .05 and .10, greater than .10

What is your conclusion?

Smoking [- Select your answer -]    is / is not a significant factor.

c. What is the probability of a stroke over the next 10 years for Art Speen, a 68-year-old smoker who has blood pressure of 175?

_____ (to 2 decimals).

Which of the following factors will the doctor recommend Art work on?

[- Select your answer -] (b1 and b2, b1 and b3, b2 and b3, b1, b2 and b3)

Solutions

Expert Solution

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.935164
R Square 0.874533
Adjusted R Square 0.851007
Standard Error 5.732733
Observations 20
ANOVA
df SS MS F Significance F
Regression 3 3665.122 1221.707 37.17438 1.93E-07
Residual 16 525.8277 32.86423
Total 19 4190.95
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -92.2751 15.21072 -6.06645 1.63E-05 -124.52 -60.0298 -124.52 -60.0298
Age 1.082097 0.165617 6.53372 6.89E-06 0.731004 1.433189 0.731004 1.433189
Pressure 0.252896 0.045136 5.60302 3.96E-05 0.157212 0.348579 0.157212 0.348579
smoker 8.661873 2.992392 2.894632 0.010558 2.318285 15.00546 2.318285 15.00546

a)

Risk = -92.275+ 1.082Age + 0.253Pressure + 8.662 Smoker

b)

t stat for smoking=2.895

0.01<p value<0.025

Decison : Reject Ho

Smoking is a significant factor. [because p value <α=0.05]

c)

Risk = -92.275+ 1.082*68 + 0.253*175 + 8.662*1=34.23

all three factor are significant

so, answer is : b1, b2 and b3


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