Proficiency Demonstration Seven How well can systolic blood pressure (SBP) be predicted from anxiety and
Proficiency Demonstration Seven
How well can systolic blood pressure (SBP) be predicted from anxiety and weight combined? Also, how much variance in blood pressure is uniquely explained by each of these two predictor variables? Run a regression analysis using SPSS to predict SBP from weight and anxiety using the following data. Write up a results section. What can you conclude about the predictive usefulness of these two variables, individually and combined?
| Anxiety | Weight | SBP |
| 7 | 90 | 137 |
| 10 | 130 | 158 |
| 35 | 30 | 163 |
| 19 | 151 | 133 |
| 17 | 170 | 106 |
| 11 | 190 | 128 |
| 18 | 210 | 168 |
| 36 | 91 | 145 |
| 19 | 90 | 149 |
| 22 | 95 | 143 |
| 28 | 130 | 145 |
| 25 | 150 | 123 |
| 4 | 110 | 145 |
| 25 | 150 | 143 |
| 18 | 110 | 113 |
| 7 | 150 | 119 |
| 16 | 230 | 139 |
| 25 | 315 | 173 |
| 28 | 250 | 176 |
| 10 | 210 | 178 |
| 34 | 271 | 174 |
| 22 | 250 | 176 |
| 17 | 230 | 156 |
| 16 | 185 | 144 |
| 9 | 201 | 154 |
A fashion student was interested in factors that predicted the salaries of catwalk models. She collected the data from 231 models. For each model she asked them their salary per day on days when they were working (salary), their age (age), how many years they had worked as a model (years), and then got a panel of experts from modeling agencies to rate the attractiveness of each model as a percentage with 100% being perfectly attractive (beauty). Conduct a multiple regression to see which factors predict a model’s salary. Use the supermodel.sav file.
- How much variance does the final model explain?
- Which variables significantly predict salary?
- Fill in the missing values for the following regression summary table
Deliverable: Word Document
