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 = 1.3 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Pietropolli
1
61 kgStrgar
4
62 kgBellotti
8
65 kgKvasina
13
72 kgMugerli
19
68 kg
1
61 kgStrgar
4
62 kgBellotti
8
65 kgKvasina
13
72 kgMugerli
19
68 kg
Weight (KG) →
Result →
72
61
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIETROPOLLI Daniele | 61 |
| 4 | STRGAR Matic | 62 |
| 8 | BELLOTTI Francesco | 65 |
| 13 | KVASINA Matija | 72 |
| 19 | MUGERLI Matej | 68 |