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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DE WOLF Fons | 75 |
| 4 | SEGERSALL Alf | 65 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 6 | SARONNI Giuseppe | 65 |
| 7 | JOHANSSON Bernt | 71 |
| 8 | POLLENTIER Michel | 62 |
| 11 | VANDI Alfio | 64 |
| 16 | DE VLAEMINCK Roger | 74 |
| 17 | GAVAZZI Pierino | 67 |
| 32 | KELLY Sean | 77 |
| 34 | DE WILDE Etienne | 70 |
| 39 | MARCUSSEN Jørgen | 70 |