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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMBROSE Scott | 66 |
| 3 | GALEDO Mark John Lexer | 58 |
| 4 | LEBAS Thomas | 65 |
| 5 | ORANZA Ronald | 67 |
| 8 | GOH Choon Huat | 54 |
| 9 | FELIPE Marcelo | 58 |
| 10 | ZEMLYAKOV Oleg | 70 |
| 11 | MONIER Damien | 75 |
| 13 | ASKARI Hossein | 73 |
| 15 | SOHRABI Mehdi | 69 |