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 = 0.9 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WILLEIT Cherise | 54 |
| 9 | LIU Xin | 52 |
| 11 | HOSKING Chloe | 60 |
| 15 | KASPER Romy | 59 |
| 16 | VYSOTSKA Ievgeniia | 55 |
| 21 | SAIFUTDINOVA Natalya | 57 |
| 27 | MENG Lang | 65 |
| 28 | STANDER Marissa | 57 |
| 39 | SANDIG Madeleine | 62 |
| 40 | DE GROOT Robyn | 56 |
| 46 | LUO Xiao Ling | 68 |
| 49 | KASHCHYSHYNA Oksana | 53 |
| 61 | MIN Gao | 56 |
| 63 | NONTASIN Chanpeng | 58 |
| 64 | VALSECCHI Silvia | 58 |