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 = 2.3 * weight - 129
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRACKE Ferdinand | 79 |
| 5 | SCHLECK Johny | 72 |
| 13 | LASA Miguel María | 68 |
| 14 | AJA Gonzalo | 66 |
| 16 | TAMAMES Agustín | 66 |
| 17 | SCHUTZ Edy | 72 |
| 18 | DÍAZ Ventura | 72 |
| 19 | PARENTEAU Jean-Pierre | 68 |
| 20 | ZOETEMELK Joop | 68 |
| 25 | POULIDOR Raymond | 71 |
| 44 | KARSTENS Gerben | 74 |
| 51 | DOLMAN Evert | 71 |
| 52 | PIJNEN René | 72 |
| 53 | GODEFROOT Walter | 73 |
| 62 | SAÉZ Ramón | 74 |
| 83 | KREKELS Jan | 73 |
| 84 | STEEVENS Harry | 73 |