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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAGLIANI Filippo | 70 |
| 2 | SALZMANN Jodok | 72 |
| 3 | PELIKÁN János | 76 |
| 4 | FILUTÁS Viktor | 68 |
| 5 | KUZMIN Anton | 66 |
| 8 | FRIEDRICH Marco | 71 |
| 9 | CULLY Ján Andrej | 73 |
| 12 | SZARKA Gergely | 67 |
| 13 | TSOY Vladimir | 73 |
| 18 | PÁPAI Ádám | 76 |