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 + 15
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RYAN Kendall | 59 |
| 4 | KIRCHMANN Leah | 59 |
| 7 | NUMAINVILLE Joëlle | 65 |
| 8 | BERGEN Sara | 64 |
| 9 | BAUR Caroline | 56 |
| 10 | COLES-LYSTER Maggie | 61 |
| 11 | BLAIS Marie-Soleil | 53 |
| 22 | TEDDERGREEN Starla | 51 |
| 27 | ANDERSON Grace | 54 |
| 29 | SWAN Callie | 63 |
| 33 | FRANZ Heidi | 52 |
| 41 | DRUMMOND Michaela | 61 |
| 52 | BEVERIDGE Allison | 62 |
| 53 | DUEHRING Jasmin | 54 |
| 54 | WILLIAMS Lily | 66 |