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 + 44
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGSKOG Susanne | 57 |
| 2 | BRONZINI Giorgia | 54 |
| 3 | VALEN Anita | 62 |
| 4 | COOKE Nicole | 58 |
| 8 | MELCHERS Mirjam | 59 |
| 10 | PUČINSKAITĖ Edita | 54 |
| 13 | WOOD Oenone | 56 |
| 14 | LE FLOC'H Magali | 59 |
| 16 | STAHURSKAYA Zinaida | 69 |
| 17 | DOPPMANN Priska | 55 |
| 21 | MARSAL Catherine | 53 |
| 24 | HEEB Barbara | 51 |
| 25 | FERNANDES SILVA Janildes | 52 |