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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | KNUDSEN Knut | 79 |
| 3 | MOSER Francesco | 79 |
| 5 | POLLENTIER Michel | 62 |
| 11 | BARONCHELLI Gianbattista | 72 |
| 16 | MAERTENS Freddy | 65 |
| 21 | BIDDLE Bruce | 64 |
| 24 | RICCOMI Walter | 66 |