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 = 2.6 * weight - 127
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAÉZ Ramón | 74 |
| 5 | SCHLECK Johny | 72 |
| 14 | SIMPSON Tom | 69 |
| 15 | MOMEÑE José Antonio | 61 |
| 21 | JANSSEN Jan | 76 |
| 26 | DÍAZ Mariano | 63 |
| 28 | POULIDOR Raymond | 71 |
| 64 | KARSTENS Gerben | 74 |
| 73 | VIGNA Marino | 67 |
| 76 | GRACZYK Jean | 70 |
| 80 | NIJDAM Henk | 75 |
| 86 | DOLMAN Evert | 71 |
| 88 | ZOET Bart | 77 |
| 91 | SCHUTZ Edy | 72 |
| 94 | DÍAZ Ventura | 72 |
| 101 | ANDREOLI Severino | 73 |