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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DONOVAN Mark | 70 |
| 3 | HEALY Ben | 65 |
| 4 | POPOV Anton | 75 |
| 6 | HOLLYMAN Mason | 59 |
| 18 | CIUCCARELLI Riccardo | 55 |
| 25 | NOVIKOV Savva | 65 |
| 30 | SYRITSA Gleb | 85 |
| 46 | MARCELLUSI Martin | 62 |
| 51 | GONOV Lev | 76 |
| 60 | CONING Ash | 63 |