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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKING Chloe | 60 |
| 2 | WILD Kirsten | 75 |
| 3 | ROY Sarah | 66 |
| 4 | EDMONDSON Annette | 66 |
| 6 | D'HOORE Jolien | 63 |
| 7 | BASTIANELLI Marta | 60 |
| 8 | JACKSON Alison | 63 |
| 10 | SIGGAARD Christina | 67 |
| 11 | MOBERG Emilie | 56 |