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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | INDURÁIN Miguel | 76 |
| 6 | DUFAUX Laurent | 60 |
| 7 | LELLI Massimiliano | 69 |
| 9 | JASKUŁA Zenon | 76 |
| 12 | IMBODEN Heinz | 70 |
| 19 | WELTZ Johnny | 65 |
| 20 | BORTOLAMI Gianluca | 73 |
| 23 | TONKOV Pavel | 70 |
| 25 | BÖLTS Udo | 73 |
| 28 | VIRENQUE Richard | 65 |