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 + 82
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIDIER Laurent | 68 |
| 3 | SAPA Marcin | 82 |
| 5 | BRAMMEIER Matt | 72 |
| 11 | FREI Thomas | 71 |
| 12 | KIENDYŚ Tomasz | 78 |
| 14 | SCHWAB Hubert | 65 |
| 17 | THOMAS Geraint | 71 |
| 22 | FLAMMANG Tom | 80 |
| 28 | PAWLAK Wojciech | 73 |
| 31 | WYSS Danilo | 65 |
| 33 | DRUCKER Jempy | 75 |
| 52 | CLANCY Edward | 79 |
| 56 | LISOWICZ Tomasz | 85 |
| 74 | ACKERMANN Silvère | 62 |
| 76 | LANG Pirmin | 73 |
| 86 | DE BAAT Arjen | 66 |