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 = 2.4 * weight - 123
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÍAZ Mariano | 63 |
| 7 | JANSSEN Jan | 76 |
| 9 | POULIDOR Raymond | 71 |
| 21 | MOMEÑE José Antonio | 61 |
| 23 | SCHUTZ Edy | 72 |
| 33 | SIMPSON Tom | 69 |
| 45 | DOLMAN Evert | 71 |
| 47 | DÍAZ Ventura | 72 |
| 60 | SAÉZ Ramón | 74 |
| 65 | SCHLECK Johny | 72 |
| 70 | GRACZYK Jean | 70 |
| 71 | KARSTENS Gerben | 74 |
| 73 | VIGNA Marino | 67 |
| 88 | NIJDAM Henk | 75 |