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 - 34
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE KETELE Kenny | 66 |
| 8 | NORTHEY Michael James | 69 |
| 10 | EBSEN John | 58 |
| 13 | YATES Simon | 58 |
| 14 | EDMÜLLER Benjamin | 70 |
| 19 | MCCONVEY Connor | 67 |
| 20 | GULDHAMMER Rasmus | 66 |
| 26 | BIAŁOBŁOCKI Marcin | 79 |
| 27 | PORTER Elliott | 73 |
| 33 | OLIPHANT Evan | 66 |
| 35 | BENNETT Sam | 73 |
| 36 | ARCHBOLD Shane | 79 |
| 39 | LAMPIER Steven | 68 |
| 40 | LAVERACK Edward | 62 |
| 42 | DE BUYST Jasper | 72 |
| 43 | DOULL Owain | 71 |