Conduct simple linear regression analyses relating each predictor to Glucose using the Regression tool in the Data Analysis toolpak The data is provided below. Thank you! GLUCOSE AGE SEX SYSBP TOTCHOL CURSMOKE DIABETES 77 39 1 106 195 0 0 76 46 2 121 250 0 0 70 48 1 127.5 245 1 0 103 61 2 150 225 1 0 85 46 2 130 285 1 0 99 43 2 180 228 0 0 85 63 2 138 205 0 0 78 45 2 100 313 1 0 79 52 1 141.5 260 0 0 88 43 1 162 225 1 0 76 50 2 133 254 0 0 61 43 2 131 247 0 0 64 46 1 142 294 1 0 84 41 2 124 332 0 0 39 2 114 226 1 0 70 38 2 140 221 1 0 72 48 1 138 232 1 0 89 46 2 112 291 1 0 78 38 2 122 195 1 0 65 41 1 139 195 0 0 85 42 2 108 190 1 0 43 2 123.5 185 0 0 113 52 2 148 234 0 0 75 52 2 132 215 1 0 83 44 1 137.5 270 1 0 66 47 1 102 294 1 0 60 2 110 260 0 0 83 35 1 132 225 1 0 65 61 2 182 272 0 0 74 60 2 130 247 0 0 63 36 1 102 295 1 0 75 43 1 115 226 1 0 79 40 1 125 227 0 0 88 59 2 150 209 0 0 75 61 1 134 175 1 0 73 62 1 125 235 0 0 87 54 1 147 214 1 0 83 37 1 124.5 225 0 0 75 56 1 153.5 257 0 0 225 52 1 160 178 0 1 90 42 2 153 233 1 0 80 36 1 111 180 0 0 78 43 2 116.5 243 1 0 74 41 2 122 237 1 0 52 2 148 0 0 100 54 1 132 195 0 0 215 53 2 206 311 0 1 98 49 2 96 208 0 0 87 65 2 179.5 252 0 0 74 46 1 119 261 1 0 75 63 2 116 179 1 0 62 36 1 139 194 1 0 79 63 2 156.5 267 1 0 95 51 1 112 216 0 0 75 47 2 130 237 1 0 75 62 2 145 240 0 0 39 2 115 209 1 0 94 46 2 116 250 1 0 55 54 2 114 266 1 1 80 49 1 143.5 255 1 0 82 44 1 115 185 0 0 87 40 2 158 205 1 0 93 56 1 121 270 1 0 74 67 2 157 254 0 0 73 53 1 123.5 220 1 0 72 57 2 126.5 235 1 0 64 57 1 136 220 0 0 45 63 2 154 252 0 0 202 62 2 190 212 0 1 78 38 1 107 223 1 0 83 47 2 112.5 300 1 0 87 52 2 110 302 0 0 63 2 164.5 248 0 0 95 42 1 116 175 1 0 87 37 2 119 200 0 0 75 41 2 150 189 1 0 83 44 2 110 221 1 0 103 59 2 138.5 258 0 0 68 44 2 155 202 0 0 89 44 2 115 213 1 0 63 45 2 151 183 0 0 65 41 1 152 274 1 0 83 60 1 179 170 1 0 70 39 1 155 285 0 0 87 53 2 138 210 0 0 82 52 2 124 170 1 0 83 61 2 182 210 0 0 65 36 2 113 197 1 0 77 62 2 138 261 0 0 78 61 2 200 326 1 0 70 41 1 124 252 1 0 195 62 1 117.5 286 1 1 76 41 1 121 274 0 0 75 53 1 138 188 1 0 97 39 1 132.5 256 1 0 77 51 2 102 244 0 0 104 66 2 154 311 0 0 77 52 1 136 288 1 0 65 60 1 126 243 1 0
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
I am having difficulty with question 3. Can you please provide the steps that necessary in Excel to complete following:
Conduct simple linear regression analyses relating each predictor to Glucose using |
the Regression tool in the Data Analysis toolpak |
The data is provided below. Thank you!
GLUCOSE | AGE | SEX | SYSBP | TOTCHOL | CURSMOKE | DIABETES |
77 | 39 | 1 | 106 | 195 | 0 | 0 |
76 | 46 | 2 | 121 | 250 | 0 | 0 |
70 | 48 | 1 | 127.5 | 245 | 1 | 0 |
103 | 61 | 2 | 150 | 225 | 1 | 0 |
85 | 46 | 2 | 130 | 285 | 1 | 0 |
99 | 43 | 2 | 180 | 228 | 0 | 0 |
85 | 63 | 2 | 138 | 205 | 0 | 0 |
78 | 45 | 2 | 100 | 313 | 1 | 0 |
79 | 52 | 1 | 141.5 | 260 | 0 | 0 |
88 | 43 | 1 | 162 | 225 | 1 | 0 |
76 | 50 | 2 | 133 | 254 | 0 | 0 |
61 | 43 | 2 | 131 | 247 | 0 | 0 |
64 | 46 | 1 | 142 | 294 | 1 | 0 |
84 | 41 | 2 | 124 | 332 | 0 | 0 |
39 | 2 | 114 | 226 | 1 | 0 | |
70 | 38 | 2 | 140 | 221 | 1 | 0 |
72 | 48 | 1 | 138 | 232 | 1 | 0 |
89 | 46 | 2 | 112 | 291 | 1 | 0 |
78 | 38 | 2 | 122 | 195 | 1 | 0 |
65 | 41 | 1 | 139 | 195 | 0 | 0 |
85 | 42 | 2 | 108 | 190 | 1 | 0 |
43 | 2 | 123.5 | 185 | 0 | 0 | |
113 | 52 | 2 | 148 | 234 | 0 | 0 |
75 | 52 | 2 | 132 | 215 | 1 | 0 |
83 | 44 | 1 | 137.5 | 270 | 1 | 0 |
66 | 47 | 1 | 102 | 294 | 1 | 0 |
60 | 2 | 110 | 260 | 0 | 0 | |
83 | 35 | 1 | 132 | 225 | 1 | 0 |
65 | 61 | 2 | 182 | 272 | 0 | 0 |
74 | 60 | 2 | 130 | 247 | 0 | 0 |
63 | 36 | 1 | 102 | 295 | 1 | 0 |
75 | 43 | 1 | 115 | 226 | 1 | 0 |
79 | 40 | 1 | 125 | 227 | 0 | 0 |
88 | 59 | 2 | 150 | 209 | 0 | 0 |
75 | 61 | 1 | 134 | 175 | 1 | 0 |
73 | 62 | 1 | 125 | 235 | 0 | 0 |
87 | 54 | 1 | 147 | 214 | 1 | 0 |
83 | 37 | 1 | 124.5 | 225 | 0 | 0 |
75 | 56 | 1 | 153.5 | 257 | 0 | 0 |
225 | 52 | 1 | 160 | 178 | 0 | 1 |
90 | 42 | 2 | 153 | 233 | 1 | 0 |
80 | 36 | 1 | 111 | 180 | 0 | 0 |
78 | 43 | 2 | 116.5 | 243 | 1 | 0 |
74 | 41 | 2 | 122 | 237 | 1 | 0 |
52 | 2 | 148 | 0 | 0 | ||
100 | 54 | 1 | 132 | 195 | 0 | 0 |
215 | 53 | 2 | 206 | 311 | 0 | 1 |
98 | 49 | 2 | 96 | 208 | 0 | 0 |
87 | 65 | 2 | 179.5 | 252 | 0 | 0 |
74 | 46 | 1 | 119 | 261 | 1 | 0 |
75 | 63 | 2 | 116 | 179 | 1 | 0 |
62 | 36 | 1 | 139 | 194 | 1 | 0 |
79 | 63 | 2 | 156.5 | 267 | 1 | 0 |
95 | 51 | 1 | 112 | 216 | 0 | 0 |
75 | 47 | 2 | 130 | 237 | 1 | 0 |
75 | 62 | 2 | 145 | 240 | 0 | 0 |
39 | 2 | 115 | 209 | 1 | 0 | |
94 | 46 | 2 | 116 | 250 | 1 | 0 |
55 | 54 | 2 | 114 | 266 | 1 | 1 |
80 | 49 | 1 | 143.5 | 255 | 1 | 0 |
82 | 44 | 1 | 115 | 185 | 0 | 0 |
87 | 40 | 2 | 158 | 205 | 1 | 0 |
93 | 56 | 1 | 121 | 270 | 1 | 0 |
74 | 67 | 2 | 157 | 254 | 0 | 0 |
73 | 53 | 1 | 123.5 | 220 | 1 | 0 |
72 | 57 | 2 | 126.5 | 235 | 1 | 0 |
64 | 57 | 1 | 136 | 220 | 0 | 0 |
45 | 63 | 2 | 154 | 252 | 0 | 0 |
202 | 62 | 2 | 190 | 212 | 0 | 1 |
78 | 38 | 1 | 107 | 223 | 1 | 0 |
83 | 47 | 2 | 112.5 | 300 | 1 | 0 |
87 | 52 | 2 | 110 | 302 | 0 | 0 |
63 | 2 | 164.5 | 248 | 0 | 0 | |
95 | 42 | 1 | 116 | 175 | 1 | 0 |
87 | 37 | 2 | 119 | 200 | 0 | 0 |
75 | 41 | 2 | 150 | 189 | 1 | 0 |
83 | 44 | 2 | 110 | 221 | 1 | 0 |
103 | 59 | 2 | 138.5 | 258 | 0 | 0 |
68 | 44 | 2 | 155 | 202 | 0 | 0 |
89 | 44 | 2 | 115 | 213 | 1 | 0 |
63 | 45 | 2 | 151 | 183 | 0 | 0 |
65 | 41 | 1 | 152 | 274 | 1 | 0 |
83 | 60 | 1 | 179 | 170 | 1 | 0 |
70 | 39 | 1 | 155 | 285 | 0 | 0 |
87 | 53 | 2 | 138 | 210 | 0 | 0 |
82 | 52 | 2 | 124 | 170 | 1 | 0 |
83 | 61 | 2 | 182 | 210 | 0 | 0 |
65 | 36 | 2 | 113 | 197 | 1 | 0 |
77 | 62 | 2 | 138 | 261 | 0 | 0 |
78 | 61 | 2 | 200 | 326 | 1 | 0 |
70 | 41 | 1 | 124 | 252 | 1 | 0 |
195 | 62 | 1 | 117.5 | 286 | 1 | 1 |
76 | 41 | 1 | 121 | 274 | 0 | 0 |
75 | 53 | 1 | 138 | 188 | 1 | 0 |
97 | 39 | 1 | 132.5 | 256 | 1 | 0 |
77 | 51 | 2 | 102 | 244 | 0 | 0 |
104 | 66 | 2 | 154 | 311 | 0 | 0 |
77 | 52 | 1 | 136 | 288 | 1 | 0 |
65 | 60 | 1 | 126 | 243 | 1 | 0 |
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