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 = 0.5 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jackowiak
5
65 kgRosato
9
57 kgFrigo
13
68 kgSantos
23
55 kgHaugetun
29
63 kgTurconi
58
67 kgJordan
78
61 kg
5
65 kgRosato
9
57 kgFrigo
13
68 kgSantos
23
55 kgHaugetun
29
63 kgTurconi
58
67 kgJordan
78
61 kg
Weight (KG) →
Result →
68
55
5
78
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | JACKOWIAK Jan Michal | 65 |
| 9 | ROSATO Giacomo | 57 |
| 13 | FRIGO Davide | 68 |
| 23 | SANTOS Guilherme | 55 |
| 29 | HAUGETUN Kristian | 63 |
| 58 | TURCONI Matteo | 67 |
| 78 | JORDAN Ayden | 61 |