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 = 2.8 * weight - 145
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CONTRERAS Mario Wilfredo | 64 |
| 10 | RANGEL Hector Hugo | 63 |
| 21 | ZARATE Jesús | 70 |
| 22 | ROJAS Juan Carlos | 58 |
| 32 | WOHLBERG Eric | 63 |
| 35 | RODAS Manuel | 68 |
| 45 | ALZATE Carlos | 74 |
| 61 | MEIER Christian | 61 |
| 76 | FRIEDMAN Joshua | 74 |
| 84 | TUFT Svein | 77 |
| 86 | ROUTLEY Will | 69 |