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 = -0.7 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAFI Andrea | 73 |
| 5 | VANDENBROUCKE Frank | 67 |
| 6 | GUIDI Fabrizio | 73 |
| 7 | BALLERINI Franco | 78 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 11 | FONDRIEST Maurizio | 70 |
| 16 | NOÈ Andrea | 65 |
| 20 | SIMEONI Filippo | 68 |
| 23 | IMBODEN Heinz | 70 |
| 24 | DONATI Massimo | 75 |
| 26 | BARTOLI Michele | 65 |
| 28 | ELLI Alberto | 71 |
| 30 | RICHARD Pascal | 67 |