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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | WANG Meiyin | 70 |
| 5 | VINGEGAARD Jonas | 58 |
| 6 | BOGDANOVIČS Māris | 68 |
| 7 | LUNARDON Paolo | 77 |
| 10 | LIEPIŅŠ Emīls | 67 |
| 11 | BANI Eugenio | 72 |
| 13 | STALNOV Nikita | 63 |
| 18 | RAMANAU Raman | 68 |
| 19 | BĒCIS Armands | 82 |
| 20 | MARTINS Uri | 70 |
| 21 | HOLLER Nikodemus | 58 |
| 22 | MARINI Nicolas | 72 |
| 23 | BAZHKOU Stanislau | 65 |
| 26 | TSOY Vladimir | 73 |