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 = 0.6 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | GILMORE Rochelle | 56 |
| 4 | HENRION Ludivine | 60 |
| 5 | BACCAILLE Monia | 61 |
| 7 | KIESANOWSKI Joanne | 56 |
| 8 | JOHANSSON Emma | 58 |
| 15 | HOHL Jennifer | 55 |
| 19 | BURCHENKOVA Alexandra | 67 |
| 24 | MULLENS Peta | 57 |
| 29 | ANTOSHINA Tatiana | 55 |
| 30 | PITEL Edwige | 52 |
| 37 | VILAJOSANA Marta | 57 |
| 39 | CANTELE Noemi | 58 |
| 40 | BOYARSKAYA Natalia | 67 |