Risk | Age | Blood Pressure | Smoker | ||
10 | 59 | 220 | 1 | ||
33 | 67 | 129 | 0 | ||
14 | 68 | 170 | 0 | ||
59 | 63 | 198 | 0 | ||
30 | 65 | 173 | 0 | ||
52 | 74 | 172 | 1 | ||
9 | 77 | 159 | 0 | ||
28 | 73 | 173 | 0 | ||
32 | 68 | 117 | 1 | ||
20 | 80 | 209 | 1 | ||
40 | 62 | 176 | 1 | ||
41 | 82 | 110 | 0 | ||
25 | 67 | 151 | 1 | ||
56 | 55 | 191 | 0 | ||
36 | 61 | 208 | 1 | ||
32 | 61 | 112 | 1 | ||
26 | 78 | 125 | 0 | ||
28 | 75 | 129 | 0 | ||
18 | 90 | 184 | 1 | ||
36 | 76 | 153 | 1 |
a)
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.3447 | ||||
R Square | 0.1188 | ||||
Adjusted R Square | 0.0151 | ||||
Standard Error | 13.7920 | ||||
Observations | 20 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 2 | 436.01 | 218.00 | 1.15 | 0.3413 |
Residual | 17 | 3233.74 | 190.22 | ||
Total | 19 | 3669.75 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 77.4348 | 33.33646226 | 2.322827337 | 0.032852868 | 7.101058467 |
Age | -0.5524 | 0.365775689 | -1.510241623 | 0.149345077 | -1.324128917 |
Blood pressure | -0.0460 | 0.096245603 | -0.477487909 | 0.639096071 | -0.249016586 |
Risk = 77.4348 -0.5524 Age -0.0460 Blood Pressure
s = 13.7920
R^2 = 0.1188
R sq adj = 0.0151
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 2 | 436.01 | 218.00 | 1.15 | 0.3413 |
Residual | 17 | 3233.74 | 190.22 | ||
Total | 19 | 3669.75 |
b)
Risk | Age | Blood pressure | Smoker | AgeBlood Press |
10 | 59 | 220 | 1 | 12980 |
33 | 67 | 129 | 0 | 8643 |
14 | 68 | 170 | 0 | 11560 |
59 | 63 | 198 | 0 | 12474 |
30 | 65 | 173 | 0 | 11245 |
52 | 74 | 172 | 1 | 12728 |
9 | 77 | 159 | 0 | 12243 |
28 | 73 | 173 | 0 | 12629 |
32 | 68 | 117 | 1 | 7956 |
20 | 80 | 209 | 1 | 16720 |
40 | 62 | 176 | 1 | 10912 |
41 | 82 | 110 | 0 | 9020 |
25 | 67 | 151 | 1 | 10117 |
56 | 55 | 191 | 0 | 10505 |
36 | 61 | 208 | 1 | 12688 |
32 | 61 | 112 | 1 | 6832 |
26 | 78 | 125 | 0 | 9750 |
28 | 75 | 129 | 0 | 9675 |
18 | 90 | 184 | 1 | 16560 |
36 | 76 | 153 | 1 | 11628 |
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.3763 | ||||
R Square | 0.1416 | ||||
Adjusted R Square | -0.0873 | ||||
Standard Error | 14.4915 | ||||
Observations | 20 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 4 | 519.71 | 129.93 | 0.62 | 0.6560 |
Residual | 15 | 3150.04 | 210.00 | ||
Total | 19 | 3669.75 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | -4.5398 | 151.3921208 | -0.029987319 | 0.976472522 | -327.224511 |
Age | 0.6188 | 2.141899624 | 0.288881354 | 0.776626242 | -3.946596115 |
Blood pressure | 0.4244 | 0.842470241 | 0.503700146 | 0.621788703 | -1.371330429 |
Smoker | -0.4745 | 7.197444628 | -0.065924818 | 0.948308317 | -15.81548031 |
AgeBlood Press | -0.0067 | 0.012160861 | -0.554319766 | 0.587530033 | -0.032661266 |
Risk = -4.5395 + 0.6188 Age + 0.4244 Blood Pressure -0.4745 Smoker -0.0067 AgeBlood Press
s= 14.4915
R^2 =0.1416
R-sq adj = -0.0873
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 4 | 519.71 | 129.93 | 0.62 | 0.6560 |
Residual | 15 | 3150.04 | 210.00 | ||
Total | 19 | 3669.75 |
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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. Data from a portion of this study follow. Risk is interpreted as the probability (times 100) that a person will have a stroke over the next 10-year period. For the smoker variable, 1 indicates a smoker and 0 indicates a nonsmoker Click on the datafile logo to reference the data. DATA file Risk Blood Pressure Smoker...
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A recent 10-year study conducted by a research team at the Medical School was conducted to assess 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...
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