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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dalla Valle
1
73 kgHaller
2
68 kgCharmig
4
66 kgFernández
6
78 kgHecht
9
72 kgO'Loughlin
11
72 kg
1
73 kgHaller
2
68 kgCharmig
4
66 kgFernández
6
78 kgHecht
9
72 kgO'Loughlin
11
72 kg
Weight (KG) →
Result →
78
66
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DALLA VALLE Nicolas | 73 |
| 2 | HALLER Patrick | 68 |
| 4 | CHARMIG Anthon | 66 |
| 6 | FERNÁNDEZ Miguel Ángel | 78 |
| 9 | HECHT Gage | 72 |
| 11 | O'LOUGHLIN Michael | 72 |