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 = 0.9 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NARVÁEZ Jhonatan | 65 |
| 2 | VILLALOBOS Luis | 66 |
| 3 | BURKE Jack | 67 |
| 4 | CEPEDA Jefferson Alexander | 56 |
| 10 | BERENDS Ethan | 61 |
| 11 | SWIRBUL Keegan | 65 |
| 13 | HOEHN Alex | 63 |
| 14 | HAIDET Lance | 59 |
| 15 | STITES Tyler | 60 |
| 16 | ROBERGE Adam | 72 |
| 17 | CARMAN Ben | 66 |
| 18 | HECHT Gage | 72 |
| 21 | FOUCHÉ James | 71 |
| 22 | ANDERSON Edward | 70 |
| 29 | MCGEOUGH Cormac | 76 |