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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINE Jay | 69 |
| 2 | SHEFFIELD Magnus | 73 |
| 3 | TULETT Ben | 56 |
| 5 | VELASCO Simone | 59 |
| 6 | DOUBLE Paul | 56 |
| 7 | DONOVAN Mark | 70 |
| 8 | LUTSENKO Alexey | 74 |
| 9 | ARRIETA Igor | 64 |
| 11 | WIDAR Jarno | 54 |
| 12 | CARBONI Giovanni | 61 |
| 13 | HERZOG Emil | 74 |
| 14 | DE PRETTO Davide | 58 |
| 15 | ULISSI Diego | 63 |
| 17 | SWIFT Ben | 69 |
| 18 | RACCAGNI NOVIERO Andrea | 75 |
| 19 | COVI Alessandro | 66 |