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 = 31.7 * weight - 1966
This means that on average for every extra kilogram weight a rider loses 31.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELGADO Pedro | 64 |
| 10 | POLLENTIER Michel | 62 |
| 19 | MOSER Francesco | 79 |
| 52 | VILAMAJO Jaime | 70 |
| 63 | FERNÁNDEZ Juan | 68 |
| 65 | MUJIKA Jokin | 73 |
| 72 | SARONNI Giuseppe | 65 |
| 990 | DE VLAEMINCK Roger | 74 |
| 990 | MARTINELLI Giuseppe | 74 |