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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROBERTS Luke | 71 |
| 3 | BATES Gene | 61 |
| 4 | SULZBERGER Wesley | 65 |
| 5 | BROCHARD Laurent | 68 |
| 6 | MENZIES Karl | 86 |
| 7 | CAETHOVEN Steven | 67 |
| 8 | COOKE Baden | 75 |
| 9 | ELMIGER Martin | 73 |
| 10 | GOSS Matthew | 70 |
| 13 | BAK Lars Ytting | 76 |
| 14 | O'GRADY Stuart | 73 |
| 15 | JUFRÉ Josep | 65 |
| 16 | LAURENT Christophe | 72 |
| 17 | MERCADO Juan Miguel | 56 |
| 18 | CHEULA Giampaolo | 62 |