Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PRIM Tommy | 76 |
| 4 | ZOETEMELK Joop | 68 |
| 14 | SCHEPERS Eddy | 60 |
| 16 | HINAULT Bernard | 62 |
| 18 | SERGEANT Marc | 76 |
| 26 | IMBODEN Heinz | 70 |
| 32 | DERNIES Michel | 75 |
| 36 | PAGNIN Roberto | 74 |
| 38 | VAN DER POEL Adrie | 70 |
| 40 | CHEVALLIER Philippe | 69 |
| 44 | DEMIERRE Serge | 70 |
| 46 | NEVENS Jan | 58 |
| 48 | GLAUS Gilbert | 67 |
| 51 | SOLLEVELD Gerrit | 93 |
| 54 | JOURDAN Christian | 64 |
| 63 | MARTINELLI Giuseppe | 74 |