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 = -31.3 * weight + 2712
This means that on average for every extra kilogram weight a rider loses -31.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MOSER Francesco | 79 |
| 5 | KELLY Sean | 77 |
| 6 | BERNAUDEAU Jean-René | 64 |
| 7 | BITTINGER René | 69 |
| 9 | FIGNON Laurent | 67 |
| 990 | GAYANT Martial | 69 |
| 990 | DE WILDE Etienne | 70 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | MARTIN Raymond | 62 |
| 990 | YATES Sean | 74 |
| 990 | BOURREAU Bernard | 63 |