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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Jan | 76 |
| 3 | POULIDOR Raymond | 71 |
| 4 | MOMEÑE José Antonio | 61 |
| 20 | DÍAZ Mariano | 63 |
| 32 | BRACKE Ferdinand | 79 |
| 34 | SCHUTZ Edy | 72 |
| 35 | SCHLECK Johny | 72 |
| 46 | KARSTENS Gerben | 74 |
| 47 | ROSTOLLAN Louis | 68 |
| 51 | DUEZ Henri | 64 |
| 63 | SWERTS Roger | 75 |
| 73 | NIJDAM Henk | 75 |