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 = 0.6 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMAS Leah | 58 |
| 4 | EDWARDS Ruth | 59 |
| 6 | STEPHENS Lauren | 55 |
| 9 | HALL Katie | 52 |
| 14 | DOEBEL-HICKOK Krista | 51 |
| 15 | GOLDMAN Lindsay | 64 |
| 20 | BLAIS Marie-Soleil | 53 |
| 22 | BERGEN Sara | 64 |
| 26 | CLEVENGER Erica | 57 |
| 29 | BEVERIDGE Allison | 62 |
| 34 | PEÑUELA Diana | 53 |
| 36 | POWLESS Shayna | 59 |
| 40 | BRECK Holly | 59 |
| 45 | NUMAINVILLE Joëlle | 65 |
| 51 | PRIETO Marcela Elizabeth | 54 |