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 = -4.8 * weight + 355
This means that on average for every extra kilogram weight a rider loses -4.8 positions in the result.
Raus
11
73 kgNisbett
18
61 kgZacharezewski
29
63 kgLorentsson
60
59 kgDotan
95
61 kgLinser
103
56.7 kg
11
73 kgNisbett
18
61 kgZacharezewski
29
63 kgLorentsson
60
59 kgDotan
95
61 kgLinser
103
56.7 kg
Weight (KG) →
Result →
73
56.7
11
103
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | RAUS Jérôme | 73 |
| 18 | NISBETT Oscar | 61 |
| 29 | ZACHAREZEWSKI Patrik | 63 |
| 60 | LORENTSSON Oscar | 59 |
| 95 | DOTAN Ron | 61 |
| 103 | LINSER Ivan | 56.7 |