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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Deweirdt
1
69 kgLópez
2
55 kgRaccagni
5
63 kgCovi
6
66 kgSchuran
9
70 kgNovák
10
64 kg
1
69 kgLópez
2
55 kgRaccagni
5
63 kgCovi
6
66 kgSchuran
9
70 kgNovák
10
64 kg
Weight (KG) →
Result →
70
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEWEIRDT Siebe | 69 |
| 2 | LÓPEZ Harold Martín | 55 |
| 5 | RACCAGNI Gabriele | 63 |
| 6 | COVI Alessandro | 66 |
| 9 | SCHURAN Michal | 70 |
| 10 | NOVÁK Pavel | 64 |