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 - 134
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | TAMAMES Agustín | 66 |
| 15 | LASA Miguel María | 68 |
| 16 | DOLMAN Evert | 71 |
| 17 | AJA Gonzalo | 66 |
| 23 | SAÉZ Ramón | 74 |
| 25 | SCHUTZ Edy | 72 |
| 31 | BRACKE Ferdinand | 79 |
| 33 | PARENTEAU Jean-Pierre | 68 |
| 34 | ZOETEMELK Joop | 68 |
| 35 | POULIDOR Raymond | 71 |
| 38 | DÍAZ Ventura | 72 |
| 48 | SCHLECK Johny | 72 |
| 52 | KARSTENS Gerben | 74 |
| 56 | PIJNEN René | 72 |
| 61 | GODEFROOT Walter | 73 |
| 70 | KREKELS Jan | 73 |