Question

A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking relate to ta. Develop an estimated regression equation that can be used to predict the risk of stroke given the age and blood pressure lb. Consider adding two independent variables to the model developed in part (a), one for the interaction between age and bloo

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
0 0
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Answer #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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