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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANUEL Karol-Ann | 51 |
| 2 | KIRCHMANN Leah | 59 |
| 4 | BEVERIDGE Allison | 62 |
| 6 | JACKSON Alison | 63 |
| 7 | PILOTE FORTIN Gabrielle | 55 |
| 8 | BLAIS Marie-Soleil | 53 |
| 9 | BARIL Olivia | 56 |
| 10 | ROCHETTE Maghalie | 53 |
| 14 | BERGEN Sara | 64 |