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 + 2
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Vanhuffel
29
57 kgKrzyśków
53
63 kgLefevre
80
75 kgHernandez
96
54 kgMons
106
61 kgKlimavičius
125
69 kg
29
57 kgKrzyśków
53
63 kgLefevre
80
75 kgHernandez
96
54 kgMons
106
61 kgKlimavičius
125
69 kg
Weight (KG) →
Result →
75
54
29
125
| # | Rider | Weight (KG) |
|---|---|---|
| 29 | VANHUFFEL Matteo | 57 |
| 53 | KRZYŚKÓW Dominik | 63 |
| 80 | LEFEVRE Fabrice | 75 |
| 96 | HERNANDEZ Jan | 54 |
| 106 | MONS Jasper | 61 |
| 125 | KLIMAVIČIUS Nikolas | 69 |