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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIVERA Kevin | 56 |
| 3 | NEVES José | 61 |
| 6 | OVECHKIN Artem | 61 |
| 8 | GUARDINI Andrea | 66 |
| 9 | MCCORMICK Hayden | 72.5 |
| 11 | STROKAU Vasili | 74 |
| 12 | FRAPPORTI Mattia | 74 |
| 13 | SAINBAYAR Jambaljamts | 60 |
| 14 | MAIKIN Roman | 68 |