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 = 3.2 * weight - 174
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHUMOV Nikolai | 65 |
| 3 | ARSLANOV Ildar | 63 |
| 18 | ZILBERSTEIN Ido | 57 |
| 25 | DI SANTE Antonio | 62 |
| 28 | GOLDSTEIN Roy | 63 |
| 38 | LUCHSHENKO Sergey | 63 |
| 42 | DUBOVSKI Vladzislau | 75 |
| 66 | ZEMLYAKOV Oleg | 70 |
| 67 | YECHEZKEL Aviv | 70 |
| 73 | TANOVIȚCHII Nicolae | 73 |