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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | REGUIGUI Youcef | 69 |
| 3 | STROKAU Vasili | 74 |
| 4 | RIVERA Kevin | 56 |
| 8 | GUARDINI Andrea | 66 |
| 9 | NEVES José | 61 |
| 10 | MARINI Nicolas | 72 |
| 11 | MCCORMICK Hayden | 72.5 |
| 12 | MAIKIN Roman | 68 |
| 14 | PEÑALVER Manuel | 67 |
| 15 | SAINBAYAR Jambaljamts | 60 |
| 16 | MEIJERS Jeroen | 68 |
| 18 | OVECHKIN Artem | 61 |
| 21 | VORGANOV Eduard | 65 |
| 23 | BJERKESTRAND HAUGSVÆR Sindre | 75 |