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 = 0.8 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RYAN Kendall | 59 |
| 2 | WILLIAMS Lily | 66 |
| 6 | TEDDERGREEN Starla | 51 |
| 8 | BLAIS Marie-Soleil | 53 |
| 9 | MULLENS Peta | 57 |
| 10 | JACKSON Alison | 63 |
| 15 | COLES-LYSTER Maggie | 61 |
| 17 | FRANZ Heidi | 52 |
| 20 | HARRIS Ella | 57 |
| 21 | STANNARD Elizabeth | 55 |
| 33 | BARIL Olivia | 56 |
| 45 | CLEVENGER Erica | 57 |
| 47 | SWAN Callie | 63 |
| 50 | NEWSOM Emily | 59 |
| 54 | ROORDA Stephanie | 70 |
| 55 | DUEHRING Jasmin | 54 |