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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 3 | ESCARTÍN Fernando | 61 |
| 4 | VIRENQUE Richard | 65 |
| 5 | HEULOT Stéphane | 69 |
| 6 | INDURÁIN Miguel | 76 |
| 7 | BOARDMAN Chris | 70 |
| 8 | BÖLTS Udo | 73 |
| 9 | BOUVARD Gilles | 70 |
| 10 | SALMON Benoît | 60 |
| 11 | BROCHARD Laurent | 68 |
| 12 | DUFAUX Laurent | 60 |
| 13 | CHANTEUR Pascal | 62 |
| 14 | MADOUAS Laurent | 70 |
| 15 | GUALDI Mirko | 68 |
| 18 | VASSEUR Cédric | 70 |
| 20 | GARMENDIA Aitor | 68 |