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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | DOWNING Russell | 64 |
| 3 | CHICCHI Francesco | 76 |
| 4 | HAMMOND Roger | 71 |
| 5 | VIERHOUTEN Aart | 71 |
| 6 | VANLANDSCHOOT James | 67 |
| 7 | KEISSE Iljo | 72 |
| 8 | POZZATO Filippo | 73 |
| 9 | PEDERSEN Martin | 62 |
| 10 | TJALLINGII Maarten | 81 |