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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Debesay
3
64 kgMonier
5
75 kgLebas
7
65 kgAfewerki
10
63 kgLahsaini
11
77 kgShimizu
16
60 kgMamykin
18
62 kg
3
64 kgMonier
5
75 kgLebas
7
65 kgAfewerki
10
63 kgLahsaini
11
77 kgShimizu
16
60 kgMamykin
18
62 kg
Weight (KG) →
Result →
77
60
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DEBESAY Mekseb | 64 |
| 5 | MONIER Damien | 75 |
| 7 | LEBAS Thomas | 65 |
| 10 | AFEWERKI Elyas | 63 |
| 11 | LAHSAINI Mouhssine | 77 |
| 16 | SHIMIZU Miyataka | 60 |
| 18 | MAMYKIN Matvey | 62 |