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Regression analysis in SPSS

Use the data set supplied (hypertension, diabetes, cholesterol in subjects, including medication, weight, age, etc) in doc sharing and using SPSS, provide the following for the variable(s) of your choice:
1. Frequency distribution of a variable and bar graph of the same variable
2. Descriptive of a continuous : mean, median, mode, skewness, kurtosis, standard deviation
3. Cross tabulation of two variables
4. Comparison of the effect of two or more groups (single variable) on a single continuous variable
5. Scatterplot of two continuous variables
6. Correlation between the two continuous variables
Think carefully about what kind of variables to choose for the given tasks.
A short descriptive statement should accompany each of the above including a description of the variables used and any meaning that may be attached to the results. The student must show that she or he is able to synthesize and apply the materials learned in class. Part of the class computer time is expected to be spent on this project. Submit to the appropriate Drop Box in a Word document.

ID age sex educ ethnic weight basesys basedias postsys postdias htnmeds diabetes cholest stroke educ2
4 50 0 2 1 145 130 80 126 76 0 0 184 0 1.00
5 51 1 2 1 185 125 78 120 80 0 1 160 0 1.00
6 52 0 4 1 311 115 70 116 68 0 1 170 0 2.00
7 53 1 2 3 187 122 78 120 80 0 0 164 0 1.00
8 54 0 3 1 131 128 78 126 82 1 0 176 0 2.00
9 55 1 3 1 165 126 86 120 82 1 0 188 0 2.00
10 56 1 3 1 166 124 80 120 78 0 0 185 0 2.00
1 57 1 3 1 157 125 80 124 78 0 0 184 0 2.00
11 57 0 3 2 150 140 84 132 82 0 1 240 0 2.00
54 57 0 3 2 124 145 88 140 84 1 0 196 0 2.00
12 58 0 2 1 163 128 84 122 82 1 1 190 0 1.00
61 58 0 4 1 157 134 82 130 80 1 0 168 0 2.00
3 59 0 1 3 151 120 80 120 80 0 0 220 0 1.00
41 59 0 4 2 131 124 80 120 80 0 0 190 0 2.00
13 59 0 2 1 142 125 80 122 80 1 1 164 0 1.00
53 59 1 3 2 193 140 88 126 82 1 0 180 0 2.00
14 60 0 2 1 221 122 78 120 80 0 1 178 0 1.00
60 60 1 2 2 175 128 82 124 82 0 0 226 0 1.00
79 60 1 4 1 174 134 80 120 78 1 0 190 0 2.00
73 60 1 2 1 168 136 86 130 82 1 0 160 0 1.00
15 61 1 2 1 196 132 82 132 82 0 1 190 0 1.00
50 61 1 3 3 169 132 84 130 82 1 0 226 0 2.00
49 61 1 4 1 187 138 82 120 80 0 1 165 0 2.00
17 61 0 3 2 132 140 86 130 82 1 0 190 0 2.00
42 62 1 2 2 198 128 80 120 80 0 0 270 0 1.00
63 62 0 2 1 119 130 82 126 80 0 0 182 0 1.00
48 62 1 2 3 199 132 82 120 80 1 0 180 0 1.00
89 62 0 2 2 121 136 80 130 80 0 0 180 0 1.00
16 62 1 3 2 165 140 86 126 80 1 0 188 0 2.00
97 62 1 3 1 178 140 88 128 82 1 0 174 0 2.00
85 63 1 3 1 188 124 80 118 76 0 0 192 0 2.00
78 63 0 2 3 140 128 82 120 80 1 0 184 0 1.00
71 63 1 2 3 185 128 78 118 78 1 0 170 0 1.00
80 63 0 2 1 141 130 86 124 82 0 0 192 0 1.00
64 63 1 3 1 145 130 88 124 82 0 0 176 0 2.00
62 63 1 2 3 172 132 84 128 82 1 0 198 0 1.00
98 64 0 2 1 198 120 80 120 78 0 0 210 0 1.00
86 64 0 2 1 147 125 86 124 80 1 1 184 0 1.00
51 64 1 1 1 169 126 78 124 82 1 0 190 0 1.00
75 64 1 2 1 173 126 80 132 82 1 0 168 0 1.00
43 64 0 2 1 135 130 84 122 80 1 0 156 0 1.00
70 64 0 2 2 137 130 82 132 82 1 0 168 0 1.00
72 65 0 2 3 145 115 75 114 72 0 0 190 0 1.00
19 65 1 2 3 182 122 84 122 80 0 0 180 0 1.00
52 65 1 4 1 183 125 82 120 80 0 0 176 0 2.00
18 65 1 3 1 197 126 80 122 80 0 1 170 0 2.00
76 65 0 4 3 174 140 86 128 80 0 0 188 0 2.00
93 65 0 2 1 136 148 88 130 82 1 0 188 0 1.00
20 66 0 2 2 158 125 82 122 80 1 0 152 0 1.00
99 66 1 2 3 189 126 78 128 84 0 0 183 0 1.00
87 66 0 3 1 128 130 84 134 82 0 0 182 0 2.00
77 66 1 2 1 169 132 84 128 80 0 0 152 0 1.00
81 66 1 2 1 182 138 88 128 80 1 0 172 0 1.00
94 66 0 2 1 166 138 88 122 82 0 1 175 0 1.00
65 66 0 1 3 167 142 88 134 82 0 0 180 0 1.00
46 67 0 3 3 144 120 78 118 72 0 0 200 0 2.00
55 67 0 2 2 139 120 78 122 80 0 0 194 0 1.00
25 67 0 3 1 138 128 82 120 80 1 0 160 0 2.00
40 67 0 2 1 185 134 88 130 86 1 1 190 0 1.00
84 67 1 2 1 199 136 82 132 76 0 1 200 0 1.00
24 67 1 2 1 197 136 86 130 82 0 0 180 0 1.00
33 68 0 3 3 124 120 76 118 74 0 0 180 0 2.00
47 68 0 2 1 139 122 80 118 78 0 0 190 0 1.00
82 68 0 2 1 127 122 80 120 78 0 0 226 0 1.00
96 68 0 2 1 146 124 82 120 82 0 0 200 0 1.00
57 68 1 3 3 198 132 86 130 82 0 0 174 0 2.00
66 68 1 2 1 199 136 88 128 82 0 0 174 0 1.00
32 68 0 2 1 168 140 88 126 80 0 0 180 0 1.00
22 68 1 3 1 203 140 78 130 80 1 0 178 0 2.00
56 68 1 2 3 199 140 82 130 80 1 0 170 0 1.00
37 68 1 2 3 247 142 90 128 80 1 0 190 0 1.00
58 69 0 3 3 114 132 82 118 78 0 0 170 0 2.00
83 69 1 3 1 184 136 84 130 84 1 0 180 0 2.00
35 69 0 2 1 163 138 86 128 84 1 1 225 0 1.00
69 69 0 3 1 124 140 90 140 84 0 0 260 0 2.00
34 69 1 2 1 179 142 82 126 80 1 0 200 0 1.00
95 69 1 4 2 198 142 86 130 82 1 0 220 0 2.00
59 70 0 2 1 152 128 78 124 80 0 1 180 0 1.00
31 70 0 1 3 194 136 84 134 82 1 0 190 0 1.00
27 73 1 2 1 182 142 88 128 82 1 0 180 0 1.00
28 74 0 4 3 141 134 82 128 78 1 0 200 0 2.00
29 75 0 2 1 132 140 88 136 82 1 0 260 0 1.00
74 56 1 2 1 250 164 90 130 82 1 1 170 1 1.00
90 58 1 1 3 215 164 88 134 80 1 1 200 1 1.00
88 61 1 2 2 201 148 88 136 84 1 0 190 1 1.00
44 65 1 1 1 171 152 90 140 82 0 0 182 1 1.00
45 66 1 3 1 179 140 88 132 86 1 1 160 1 2.00
21 67 0 2 1 203 154 84 124 80 1 0 180 1 1.00
2 67 1 3 1 186 142 84 122 78 0 0 178 1 2.00
92 67 1 2 3 197 146 86 136 82 1 1 184 1 1.00
36 68 1 4 1 210 148 88 130 82 0 1 202 1 2.00
68 68 0 2 1 159 138 80 124 78 0 0 180 1 1.00
39 68 1 3 1 215 138 86 138 84 1 0 190 1 2.00
100 68 1 2 3 205 140 86 128 82 0 1 196 1 1.00
38 68 1 3 3 203 148 90 142 84 1 1 210 1 2.00
67 68 1 3 1 202 150 90 138 82 1 0 240 1 2.00
91 69 1 2 3 199 140 88 140 84 1 0 225 1 1.00
23 69 0 1 3 125 146 84 132 82 0 1 172 1 1.00
26 72 1 3 3 195 146 80 140 80 0 0 166 1 2.00
30 74 1 2 1 185 136 80 130 82 1 0 188 1 1.00

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Solution Summary

The solution provides step by step method for the calculation of regression model in SPSSS . Formula for the calculation and Interpretations of the results are also included.

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