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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Fisher-Black
1
69 kgCuley
5
69 kgGate
7
71 kgBrown
9
74 kgLebas
10
65 kgYamamoto
12
62 kgJackson
13
75 kgStrong
14
63 kg
1
69 kgCuley
5
69 kgGate
7
71 kgBrown
9
74 kgLebas
10
65 kgYamamoto
12
62 kgJackson
13
75 kgStrong
14
63 kg
Weight (KG) →
Result →
75
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FISHER-BLACK Finn | 69 |
| 5 | CULEY Marcus | 69 |
| 7 | GATE Aaron | 71 |
| 9 | BROWN Connor | 74 |
| 10 | LEBAS Thomas | 65 |
| 12 | YAMAMOTO Genki | 62 |
| 13 | JACKSON George | 75 |
| 14 | STRONG Corbin | 63 |