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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE KETELE Kenny | 66 |
| 8 | NORTHEY Michael James | 69 |
| 10 | EBSEN John | 58 |
| 13 | EDMÜLLER Benjamin | 70 |
| 14 | YATES Simon | 58 |
| 18 | MCCONVEY Connor | 67 |
| 19 | GULDHAMMER Rasmus | 66 |
| 22 | PORTER Elliott | 73 |
| 28 | OLIPHANT Evan | 66 |
| 29 | BENNETT Sam | 73 |
| 30 | ARCHBOLD Shane | 79 |
| 32 | BIAŁOBŁOCKI Marcin | 79 |
| 33 | LAMPIER Steven | 68 |
| 34 | LAVERACK Edward | 62 |
| 36 | DE BUYST Jasper | 72 |