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 + 41
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 3 | SARONNI Giuseppe | 65 |
| 5 | ZOETEMELK Joop | 68 |
| 6 | KNUDSEN Knut | 79 |
| 7 | MARTIN Raymond | 62 |
| 10 | NILSSON Sven-Åke | 63 |
| 15 | VAN IMPE Lucien | 59 |
| 18 | KUIPER Hennie | 69 |
| 19 | DE ROOIJ Theo | 69 |
| 30 | SUTTER Ueli | 70 |
| 36 | BOURREAU Bernard | 63 |
| 37 | OVION Régis | 64 |
| 52 | DIDIER Lucien | 67 |
| 57 | JOURDAN Christian | 64 |