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 = -0.2 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMPSON Tom | 69 |
| 5 | DÍAZ Mariano | 63 |
| 7 | JANSSEN Jan | 76 |
| 9 | KARSTENS Gerben | 74 |
| 12 | DOLMAN Evert | 71 |
| 18 | DÍAZ Ventura | 72 |
| 19 | NIJDAM Henk | 75 |
| 20 | SAÉZ Ramón | 74 |
| 21 | SCHLECK Johny | 72 |
| 26 | SCHUTZ Edy | 72 |
| 36 | MOMEÑE José Antonio | 61 |
| 41 | POULIDOR Raymond | 71 |
| 54 | ZOET Bart | 77 |
| 80 | VIGNA Marino | 67 |
| 82 | GRACZYK Jean | 70 |
| 89 | ANDREOLI Severino | 73 |