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 = 2.7 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOBERG Emilie | 56 |
| 3 | MANEEPHAN Jutatip | 59 |
| 6 | LIU Xin | 52 |
| 11 | NA Ahreum | 55 |
| 20 | MENG Lang | 65 |
| 25 | HAGIWARA Mayuko | 52 |
| 32 | NUNTANA Supaksorn | 55 |
| 41 | DIAO Xiao Juan | 59 |
| 60 | HATTELAND LIMA Tone | 65 |
| 69 | LUO Xiao Ling | 68 |
| 72 | NONTASIN Chanpeng | 58 |