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 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 1 | ROMINGER Tony | 65 |
| 5 | ANDREU Frankie | 77 |
| 8 | FIGNON Laurent | 67 |
| 13 | CAPELLE Christophe | 73 |
| 15 | MUSEEUW Johan | 71 |
| 17 | JALABERT Laurent | 66 |
| 18 | ROCHE Stephen | 74 |
| 20 | DUCLOS-LASSALLE Gilbert | 73 |
| 22 | KELLY Sean | 77 |
| 25 | LEMOND Greg | 67 |
| 29 | WAUTERS Marc | 73 |
| 30 | GAYANT Martial | 69 |
| 35 | MOREAU Francis | 77 |
| 41 | BAUER Steve | 72 |
| 42 | BOURGUIGNON Thierry | 72 |