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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Noval
1
72 kgJackowiak
2
65 kgHaugetun
3
63 kgRosato
8
57 kgHewes
21
69 kgFrigo
25
68 kgJordan
27
61 kgTurconi
36
67 kg
1
72 kgJackowiak
2
65 kgHaugetun
3
63 kgRosato
8
57 kgHewes
21
69 kgFrigo
25
68 kgJordan
27
61 kgTurconi
36
67 kg
Weight (KG) →
Result →
72
57
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAL Benjamín | 72 |
| 2 | JACKOWIAK Jan Michal | 65 |
| 3 | HAUGETUN Kristian | 63 |
| 8 | ROSATO Giacomo | 57 |
| 21 | HEWES Alex | 69 |
| 25 | FRIGO Davide | 68 |
| 27 | JORDAN Ayden | 61 |
| 36 | TURCONI Matteo | 67 |