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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠPILAK Simon | 68 |
| 2 | KREUZIGER Roman | 65 |
| 3 | MASCIARELLI Francesco | 55 |
| 4 | KÖNIG Leopold | 62 |
| 5 | KIŠERLOVSKI Robert | 72 |
| 7 | BOLE Grega | 69 |
| 8 | ĐURASEK Kristijan | 56 |
| 11 | HONKISZ Adrian | 61 |
| 14 | JARC Blaž | 87 |
| 15 | BAJC Andi | 65 |