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 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNTER Robert | 72 |
| 2 | TAFI Andrea | 73 |
| 5 | O'NEILL Nathan | 72 |
| 6 | WOHLBERG Eric | 63 |
| 9 | CAÑADA David | 65 |
| 14 | WEGELIUS Charles | 62 |
| 15 | DEGANO Enrico | 68 |
| 19 | BALČIŪNAS Linas | 90 |
| 27 | SUZUKI Shinri | 60 |
| 30 | LE MÉVEL Christophe | 61 |
| 31 | AMORISON Frédéric | 70 |
| 32 | MATVEYEV Sergiy | 78 |
| 33 | MÄNDOJA Innar | 69 |