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 + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILMORE Rochelle | 56 |
| 8 | GONZALEZ Yumari | 61 |
| 12 | MAJERUS Christine | 56 |
| 15 | NUMAINVILLE Joëlle | 65 |
| 19 | MENG Lang | 65 |
| 20 | CORDON-RAGOT Audrey | 60 |
| 22 | CANUEL Karol-Ann | 51 |
| 33 | VYSOTSKA Ievgeniia | 55 |
| 49 | MIN Gao | 56 |
| 70 | RAMSDEN Denise | 62 |