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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABELINSKAYA Olga | 52 |
| 2 | PUČINSKAITĖ Edita | 54 |
| 3 | CANTELE Noemi | 58 |
| 7 | BASTIANELLI Marta | 60 |
| 8 | SLAPPENDEL Iris | 67 |
| 10 | VISSER Adrie | 59 |
| 12 | MARTISOVA Julia | 64 |
| 13 | BRENNAUER Lisa | 63 |
| 17 | KOEDOODER Vera | 69 |
| 24 | KUPFERNAGEL Hanka | 68 |
| 25 | ANDRUK Alona | 56 |
| 31 | MIN Gao | 56 |
| 38 | VAN DIJK Ellen | 71 |
| 46 | HOSKING Chloe | 60 |
| 50 | LUO Xiao Ling | 68 |