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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Rosato
15
57 kgTurconi
16
67 kgFrigo
18
68 kgO'Brien
19
59 kgDoghetti
22
54 kgTammepuu
28
68 kgJędrysek
29
63 kg
15
57 kgTurconi
16
67 kgFrigo
18
68 kgO'Brien
19
59 kgDoghetti
22
54 kgTammepuu
28
68 kgJędrysek
29
63 kg
Weight (KG) →
Result →
68
54
15
29
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | ROSATO Giacomo | 57 |
| 16 | TURCONI Matteo | 67 |
| 18 | FRIGO Davide | 68 |
| 19 | O'BRIEN Finn | 59 |
| 22 | DOGHETTI Thomas | 54 |
| 28 | TAMMEPUU Riko | 68 |
| 29 | JĘDRYSEK Bartłomiej | 63 |