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 = -2.3 * weight + 167
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Rosato
3
57 kgJackowiak
5
65 kgFrigo
7
68 kgHaugetun
9
63 kgTurconi
24
67 kgSantos
56
55 kgJordan
65
61 kg
3
57 kgJackowiak
5
65 kgFrigo
7
68 kgHaugetun
9
63 kgTurconi
24
67 kgSantos
56
55 kgJordan
65
61 kg
Weight (KG) →
Result →
68
55
3
65
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROSATO Giacomo | 57 |
| 5 | JACKOWIAK Jan Michal | 65 |
| 7 | FRIGO Davide | 68 |
| 9 | HAUGETUN Kristian | 63 |
| 24 | TURCONI Matteo | 67 |
| 56 | SANTOS Guilherme | 55 |
| 65 | JORDAN Ayden | 61 |