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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUDUS Merhawi | 58 |
| 2 | BADILATTI Matteo | 62 |
| 3 | CONTRERAS Rodrigo | 68 |
| 4 | KASPERKIEWICZ Przemysław | 71 |
| 5 | TORRES Pablo | 63.5 |
| 7 | GUILLONNET Adrien | 69 |
| 8 | MUGISHA Moise | 58 |
| 9 | AGUIRRE Hernán Ricardo | 55 |
| 13 | TAARAMÄE Rein | 73 |
| 14 | QUÉMÉNEUR Perrig | 67 |
| 16 | NATAROV Yuriy | 68 |
| 17 | HUDRY Florian | 57 |