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 + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRONZINI Giorgia | 54 |
| 4 | HSIAO Mei Yu | 58 |
| 7 | GILMORE Rochelle | 56 |
| 8 | MARTISOVA Julia | 64 |
| 9 | BARTELLONI Beatrice | 63 |
| 13 | MOBERG Emilie | 56 |
| 14 | MENG Lang | 65 |
| 28 | SOMRAT Phetdarin | 56 |
| 29 | NUNTANA Supaksorn | 55 |
| 33 | RIABCHENKO Tetyana | 57 |
| 35 | NONTASIN Chanpeng | 58 |
| 36 | LONGO BORGHINI Elisa | 59 |
| 41 | WONG WAN Yiu | 54 |
| 45 | HATTELAND LIMA Tone | 65 |
| 46 | ROBERTS Amy | 61 |