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 = 3.8 * weight - 193
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Hernandez
9
54 kgVanhuffel
23
57 kgMons
31
61 kgKlimavičius
54
69 kgKrzyśków
65
63 kgLefevre
95
75 kg
9
54 kgVanhuffel
23
57 kgMons
31
61 kgKlimavičius
54
69 kgKrzyśków
65
63 kgLefevre
95
75 kg
Weight (KG) →
Result →
75
54
9
95
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | HERNANDEZ Jan | 54 |
| 23 | VANHUFFEL Matteo | 57 |
| 31 | MONS Jasper | 61 |
| 54 | KLIMAVIČIUS Nikolas | 69 |
| 65 | KRZYŚKÓW Dominik | 63 |
| 95 | LEFEVRE Fabrice | 75 |