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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | NORTHEY Michael James | 69 |
| 7 | EBSEN John | 58 |
| 10 | POZDNYAKOV Kirill | 67 |
| 11 | YATES Simon | 58 |
| 15 | MCCONVEY Connor | 67 |
| 16 | GULDHAMMER Rasmus | 66 |
| 17 | DE KETELE Kenny | 66 |
| 18 | PORTER Elliott | 73 |
| 23 | BENNETT Sam | 73 |
| 25 | OLIPHANT Evan | 66 |
| 26 | ARCHBOLD Shane | 79 |
| 29 | LAMPIER Steven | 68 |
| 31 | LAVERACK Edward | 62 |
| 32 | DE BUYST Jasper | 72 |