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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | FIGNON Laurent | 67 |
| 5 | ROMINGER Tony | 65 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 7 | GAYANT Martial | 69 |
| 13 | MARIE Thierry | 68 |
| 14 | INDURÁIN Miguel | 76 |
| 16 | HODGE Stephen | 74 |