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 = 0.3 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIM Tommy | 76 |
| 2 | SARONNI Giuseppe | 65 |
| 3 | WINNEN Peter | 60 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 12 | NILSSON Sven-Åke | 63 |
| 14 | DIDIER Lucien | 67 |
| 15 | SEGERSALL Alf | 65 |
| 16 | BERNAUDEAU Jean-René | 64 |
| 28 | VIEJO José Luis | 64 |
| 30 | MARTIN Raymond | 62 |
| 33 | SUTTER Ueli | 70 |
| 34 | ZOETEMELK Joop | 68 |
| 37 | DEMIERRE Serge | 70 |
| 38 | KNUDSEN Knut | 79 |
| 42 | DE ROOIJ Theo | 69 |
| 47 | BOURREAU Bernard | 63 |