Question

Read the following data

ID Sex Age Height Weight Pulse FastGlucose PostGlucose

2304 F 16 61 102 100 568 625

1128 M 43 71 218 76 156 208

4425 F 48 66 162 80 244 322

1387 F 57 64 142 70 177 206

9012 F 39 63 157 68 257 318

6312 M 52 72 240 77 362 413

5438 F 42 62 168 83 247 304

3788 M 38 73 234 71 486 544

9125 F 56 64 159 70 166 215

3438 M 15 66 140 67 492 547

1274 F 50 65 153 70 193 271

3347 M 53 70 193 78 271 313

2486 F 63 65 157 70 152 224

1129 F 48 61 137 69 267 319

9723 M 52 75 219 65 348 403

8653 M 49 68 185 79 259 311

4451 M 54 71 196 81 373 431

3279 M 40 70 213 82 447 504

4759 F 60 68 164 71 155 215

6488 F 59 64 154 75 362 409

Using SAS or R to perform the following analyses:

1. Check the percentage of Female and male in this data set.

2. Estimate the mean and standard deviation of height and weight

3. Estimate the paired correlation coefficients of height, weight, pulse fastGlucose and PostGlucose.

4. Draw a scatter plot of fastGlucose vs PostGlucose.

5. Using data of diabetes, generate a new variable of Body Mass Index: BMI=weight/height², and examine if BMI is a significant predictor for PostGlucose.

6. Find the sample means for PostGlucose and BMI, and verify the means of PostGlucose and BMI is located in the regression line.

"PLZ USE SAS"

Answer 1

Answers: 1) The percentage of female in this dataset =0.55 and the percentage of male in this dataset =0.45

2) The mean of height = 66.95, the standard deviation of height = 4.14824. The mean of weight = 174.65, the standard deviation of weight = 36.31192

3) The paired correlation coefficients of each of the following pairs are:

cor(height,weight) = 0.8961103
cor(height,pulse) = 0.3004289
cor(height,fastglucose) = 0.1695972
cor(height,postglucose) = 0.1653848
cor(weight,pulse) = 0.3278487
cor(weight,fastglucose) = 0.06302092
cor(weight,postglucose) = 0.05697354
cor(pulse,fastglucose) = 0.358736
cor(pulse,postglucose) = 0.363921
cor(pg,fastglucose) =0.9959845

4) The scatterplot of fastGlucose vs postglucose is obtained and is attached below along with the code and output of the answers obtained using R-software.

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