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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEPHENS Lauren | 55 |
| 2 | CANUEL Karol-Ann | 51 |
| 5 | THOMAS Leah | 58 |
| 7 | DUEHRING Jasmin | 54 |
| 9 | KIRCHMANN Leah | 59 |
| 13 | DREXEL Ingrid | 62 |
| 15 | LUEBKE Jennifer | 54 |
| 16 | POIDEVIN Sara | 56 |
| 21 | BEVERIDGE Allison | 62 |
| 22 | BLAIS Marie-Soleil | 53 |
| 29 | DRUMMOND Michaela | 61 |
| 35 | BARIL Olivia | 56 |
| 37 | FERRIER-BRUNEAU Christel | 53 |
| 42 | RAY Olivia | 53 |