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 = 1.1 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DELGADO Pedro | 64 |
| 11 | MOSER Francesco | 79 |
| 14 | POLLENTIER Michel | 62 |
| 30 | VILAMAJO Jaime | 70 |
| 65 | MUJIKA Jokin | 73 |
| 67 | SARONNI Giuseppe | 65 |
| 102 | MARTINELLI Giuseppe | 74 |
| 109 | FERNÁNDEZ Juan | 68 |