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 = -0.7 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LASA Miguel María | 68 |
| 4 | ZOETEMELK Joop | 68 |
| 7 | KARSTENS Gerben | 74 |
| 9 | KREKELS Jan | 73 |
| 13 | SCHUTZ Edy | 72 |
| 17 | SCHLECK Johny | 72 |
| 19 | DOLMAN Evert | 71 |
| 24 | POULIDOR Raymond | 71 |
| 25 | BRACKE Ferdinand | 79 |
| 32 | DÍAZ Ventura | 72 |
| 37 | TAMAMES Agustín | 66 |
| 39 | GODEFROOT Walter | 73 |
| 41 | PIJNEN René | 72 |
| 45 | AJA Gonzalo | 66 |
| 61 | SAÉZ Ramón | 74 |
| 69 | PARENTEAU Jean-Pierre | 68 |