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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FERRARI Roberto | 73 |
| 6 | BOLE Grega | 69 |
| 11 | HANSEN Adam | 72 |
| 12 | AAEN JØRGENSEN Jonas | 63 |
| 14 | ZEITS Andrey | 73 |
| 16 | STRGAR Matic | 62 |
| 28 | TLEUBAYEV Ruslan | 70 |
| 29 | SHPILEVSKY Boris | 78 |