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 = -0.1 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOLMAN Evert | 71 |
| 2 | JANSSEN Jan | 76 |
| 11 | SCHLECK Johny | 72 |
| 18 | SCHUTZ Edy | 72 |
| 19 | SIMPSON Tom | 69 |
| 21 | GRACZYK Jean | 70 |
| 24 | SAÉZ Ramón | 74 |
| 36 | DÍAZ Ventura | 72 |
| 40 | DÍAZ Mariano | 63 |
| 42 | MOMEÑE José Antonio | 61 |
| 51 | NIJDAM Henk | 75 |
| 52 | POULIDOR Raymond | 71 |
| 75 | KARSTENS Gerben | 74 |
| 84 | ZOET Bart | 77 |
| 88 | VIGNA Marino | 67 |