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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | EBSEN John | 58 |
| 7 | POZDNYAKOV Kirill | 67 |
| 8 | YATES Simon | 58 |
| 12 | MCCONVEY Connor | 67 |
| 13 | GULDHAMMER Rasmus | 66 |
| 17 | ARCHBOLD Shane | 79 |
| 18 | BENNETT Sam | 73 |
| 19 | OLIPHANT Evan | 66 |
| 21 | LAMPIER Steven | 68 |
| 23 | NORTHEY Michael James | 69 |
| 24 | LAVERACK Edward | 62 |
| 26 | DE BUYST Jasper | 72 |