We have the data as :
Risk | Age | Blood pressure | Smoker |
12 | 57 | 150 | 0 |
26 | 60 | 165 | 0 |
11 | 59 | 155 | 0 |
57 | 86 | 170 | 1 |
28 | 59 | 196 | 1 |
50 | 76 | 189 | 1 |
17 | 56 | 155 | 1 |
32 | 78 | 120 | 0 |
37 | 80 | 135 | 0 |
15 | 78 | 98 | 0 |
22 | 71 | 152 | 0 |
36 | 70 | 173 | 1 |
15 | 67 | 135 | 1 |
48 | 77 | 209 | 1 |
14 | 60 | 199 | 0 |
36 | 82 | 119 | 1 |
8 | 65 | 166 | 0 |
34 | 82 | 125 | 0 |
3 | 61 | 117 | 0 |
39 | 60 | 208 | 1 |
Now, Using Microsoft Excel, we can find the Multiple regression model using the Data Analysis Tab in Data.
The results obtained are :
(a)
Multiple Regression equation is :
(b)
To test this we need to set up the hypothesis :
Null hypothesis : Smoking is not a significant factor in risk of a stroke.
Alternative hypothesis : Smoking is a significant factor in risk of a stroke.
Decision criteria : We consider the P-value corresponding to "Smoker" in the above table,
P-value = 0.044556878
Since, P-value = 0.044556878 < 0.05 ( Level of significance) , we reject null hypothesis, and conclude that Smoking is a significant factor in risk of a stroke.
(c)
We are given,
X1 = Age = 65
X2 = Blood pressure = 172
X3 = Somker = 1
Probability of stroke over the next 10 years for Art Speen , a 65 year old smoker who has a blood pressure of 172 :
Physician will recommend this person to quit smoking as smoking is increasing the chance of a stroke by almost 7.5%
A recent 10-year study conducted by a research team at the Medical School was conducted to...
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 Blood...
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...
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. Blood...
A recent 10-year study conducted by a research team at the Great Falls Medical School was conducted to assess how age, systolic 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...
2. A recent study conducted by a research team at the University Medical School was conducted to assess how age, systolic blood pressure, and smoking relate to the risk of strokes. The data is is found in the worksheet Stroke data. a. Which variables are the explanatory (independent) variables? b. Which variable is the response (dependent) variable? Run the correlation analysis to produce the correlation matrix. c. Write an interpretation of the correlation matrix. d. At this point are there...
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 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. (See the Stroke file in the document...
QUESTION 1: Regression and Forecasting 125 marks] Huka A recent 10-year study of senior Taupo residents conducted by a research team at the Falls Medical School the risk of strokes. Assume that the following data are from a portion of this stu interpreted as the probability (times 100) that the patient will have a stroke over the next i0- year period. For the smoking variable, a dummy variable with 1 indicates a smoker an was conducted to assess how age,...
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...
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. Risk Age Blood Pressure Smoker 14 58 201 0 23 82 98 1 25 74...
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...