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 = 2.5 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDWARDS Ruth | 59 |
| 2 | BERGEN Sara | 64 |
| 3 | STEPHENS Lauren | 55 |
| 5 | MULLENS Peta | 57 |
| 7 | PEÑUELA Diana | 53 |
| 9 | TEDDERGREEN Starla | 51 |
| 12 | HALL Katie | 52 |
| 14 | GANZAR Leigh Ann | 59 |
| 17 | LUEBKE Jennifer | 54 |
| 18 | BLAIS Marie-Soleil | 53 |
| 25 | DREXEL Ingrid | 62 |
| 27 | NEWSOM Emily | 59 |
| 50 | GOLDMAN Lindsay | 64 |
| 54 | BAUR Caroline | 56 |
| 56 | RYAN Kendall | 59 |
| 62 | WILLIAMS Lily | 66 |
| 63 | GARCÍA Danielys del Valle | 68 |