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 = -0.7 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Barry
1
77 kgZahálka
2
69 kgSolen
4
67 kgRemijn
8
68 kgMedina
10
64 kgGarcia
11
64 kg
1
77 kgZahálka
2
69 kgSolen
4
67 kgRemijn
8
68 kgMedina
10
64 kgGarcia
11
64 kg
Weight (KG) →
Result →
77
64
1
11
# | Rider | Weight (KG) |
---|---|---|
1 | BARRY Ashlin | 77 |
2 | ZAHÁLKA Štěpán | 69 |
4 | SOLEN Keije | 67 |
8 | REMIJN Senna | 68 |
10 | MEDINA Joaquin | 64 |
11 | GARCIA Emilio | 64 |