The containing data for patients who screened on a tobacco screening day held at a local hospital has been uploaded to the EG SAS server (also uploaded in the class schedule). Each column in the file is tab separated from the other.

First column contains patient's Gender (1=male 2= female)
Second column contains patient's Age
Third column contains patient's Race (1=White, 2=Black, 3=Hispanic, and 4=Asian)
Fourth column contains patient's Smoking status (1=yes and 2= no)
Fifth column contains patient's Diastolic blood pressure
Sixth column contains patient's Systolic blood pressure
Seventh column contains patient's Education status (0= not high school educated and 1= high school educated)

(Note: Assume that the patients were randomly selected and put into different Race categories and independent of each other.)

As a data analysis expert, you were asked to perform data analysis and to generate results to be included in the annual report for that tobacco screening program. You were asked to do the following:

Question 1: Read the data into SAS using appropriate variable names.

Question 2: Verify if there is any difference in Systolic blood pressure among the Race categories.
a. Which type of analysis is appropriate and why?
b. Is there is any difference (explain why or why not)?
c. Identify the different group(s) (if any) with 95% confidence limits. Clearly identify your dependent variable and independent variables in your explanation.

Question 3: Verify the correlation of Systolic blood pressure, Diastolic blood pressure, and Education with respect to Smoking status. Which type of correlation is appropriate to report? Explain your result withappropriate values and statistics with their meaning.

Question 4: Can you predict Education level of a patient from Smoking status? How? Show the plot for prediction.

Data Set: 1 55 3 2 124 165 1 2 52 3 1 128 171 1 1 63 4 1 126 168 1 1 83 3 1 154 205 1 2 37 1 1 104 139 1 2 33 4 2 108 144 1 2 50 1 1 118 157 1 2 55 4 2 130 173 1 1 40 3 1 126 168 1 2 37 3 2 100 133 0 2 57 4 2 164 219 0 1 21 3 1 122 163 0 2 85 3 2 138 184 0 1 85 3 1 112 149 0 2 84 3 1 124 165 0 1 31 4 2 142 189 0 2 42 1 1 115 153 0 1 69 3 1 124 165 0 1 55 3 1 132 176 0 2 37 3 1 106 141 0 2 59 3 1 110 147 0 2 73 1 2 218 291 0 1 78 4 1 148 197 1 2 51 3 2 128 171 0 1 71 3 2 130 173 1 1 69 1 1 170 227 0 1 52 3 2 116 155 1 2 76 2 1 118 157 0 1 25 3 1 132 176 1 2 57 3 1 108 144 0 1 70 1 1 130 173 1 2 76 4 1 125 167 0 1 85 3 1 182 243 1 2 60 3 1 170 227 0 2 80 1 2 202 269 1 2 57 3 1 122 163 0 1 26 1 2 104 139 1 1 28 1 1 114 152 0 1 56 4 2 144 192 1 2 25 3 2 102 136 0 2 64 2 1 132 176 1 2 68 3 2 106 141 0 1 75 3 2 144 192 0 1 70 4 1 116 155 0 1 26 3 1 114 152 0 1 20 3 2 126 168 0 1 25 3 2 124 165 0 1 76 2 2 148 197 0 1 81 4 1 122 163 0 2 32 1 2 104 139 0 2 38 1 1 128 171 0 2 63 3 1 132 176 0 1 66 1 1 140 187 0 2 60 3 1 108 144 0 2 37 1 2 100 133 0 1 75 3 1 158 211 0 1 55 4 2 152 203 0 1 36 1 2 112 149 0 1 37 1 1 114 152 0 2 20 4 2 108 144 0 1 59 4 1 120 160 0 1 85 3 1 136 181 0 1 72 3 2 106 141 0 2 31 3 2 120 160 0 2 31 3 2 126 168 0 2 63 4 2 168 224 0 1 27 3 1 124 165 0 2 67 1 1 172 229 0 2 71 1 2 156 208 0 2 51 3 1 112 149 0 2 60 3 2 146 195 0 1 65 3 1 140 187 0 2 20 4 2 88 117 0 1 51 4 1 114 152 0 2 69 4 2 176 235 0 2 43 4 1 142 189 0 2 45 1 2 118 157 0 2 61 3 2 128 171 1 1 73 3 1 144 192 1 2 47 3 1 162 216 1 1 61 3 2 166 221 1 2 80 3 2 180 240 1 1 40 4 2 138 184 1 2 29 4 2 100 133 1 1 26 1 1 118 157 1 1 85 4 1 138 184 1 1 62 1 2 158 211 1 2 40 4 1 166 221 1 1 20 4 2 102 136 1 2 54 3 2 130 173 1 2 23 4 2 124 165 1 2 51 4 2 116 68 1 1 23 3 2 130 88 1 1 74 3 1 148 52 1 1 21 3 1 112 68 1 2 44 2 1 102 60 1 1 23 1 2 114 82 1 2 34 3 1 120 68 1 2 26 3 1 108 40 1 1 24 3 1 128 82 1 2 49 4 2 128 76 1 2 62 3 1 110 72 1 1 85 3 1 160 58 1 1 41 2 1 122 76 1 1 43 3 1 136 64 1 2 85 3 2 128 44 1 1 45 4 1 120 90 1 1 44 4 1 138 94 1 2 26 4 2 110 74 1 2 22 3 1 106 54 1 1 41 1 2 108 70 1 1 37 3 1 132 86 1 1 63 3 1 108 68 1 2 83 3 2 178 82 1 2 34 3 2 100 62 1 2 64 3 1 144 66 1 1 75 3 1 108 68 1 2 64 3 2 122 64 1 2 72 3 2 134 64 1