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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEILANDS Krists | 69 |
| 2 | SERGIS Kaspars | 75 |
| 5 | BOGDANOVIČS Māris | 68 |
| 7 | LIEPIŅŠ Emīls | 67 |
| 8 | SARAMOTINS Aleksejs | 75 |
| 9 | SMUKULIS Gatis | 72 |
| 10 | SKUJIŅŠ Toms | 70 |
| 11 | FLAKSIS Andžs | 79 |
| 16 | BĒCIS Armands | 82 |