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 + 137
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOUBLE Paul | 56 |
| 2 | EWAN Caleb | 69 |
| 3 | WIDAR Jarno | 54 |
| 4 | KOGUT Oded | 77 |
| 5 | ULISSI Diego | 63 |
| 6 | TULETT Ben | 56 |
| 8 | SHEFFIELD Magnus | 73 |
| 9 | SWIFT Ben | 69 |
| 10 | DE PRETTO Davide | 58 |
| 12 | LUTSENKO Alexey | 74 |
| 13 | RACCAGNI NOVIERO Andrea | 75 |
| 14 | COVI Alessandro | 66 |
| 15 | LIEPIŅŠ Emīls | 67 |
| 991 | PERSICO Davide | 65 |