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 = 17.4 * weight - 1065
This means that on average for every extra kilogram weight a rider loses 17.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | SARONNI Giuseppe | 65 |
| 21 | POLLENTIER Michel | 62 |
| 33 | DELGADO Pedro | 64 |
| 34 | MOSER Francesco | 79 |
| 41 | VILAMAJO Jaime | 70 |
| 68 | MUJIKA Jokin | 73 |
| 78 | FERNÁNDEZ Juan | 68 |
| 80 | DE VLAEMINCK Roger | 74 |
| 990 | MARTINELLI Giuseppe | 74 |