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 = 0.8 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZOET Bart | 77 |
| 13 | DÍAZ Mariano | 63 |
| 21 | JANSSEN Jan | 76 |
| 22 | GRACZYK Jean | 70 |
| 23 | KARSTENS Gerben | 74 |
| 31 | MOMEÑE José Antonio | 61 |
| 45 | POULIDOR Raymond | 71 |
| 53 | SAÉZ Ramón | 74 |
| 58 | VIGNA Marino | 67 |
| 61 | DÍAZ Ventura | 72 |
| 65 | SCHLECK Johny | 72 |
| 83 | SCHUTZ Edy | 72 |
| 88 | NIJDAM Henk | 75 |
| 90 | SIMPSON Tom | 69 |
| 102 | DOLMAN Evert | 71 |
| 108 | ANDREOLI Severino | 73 |