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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Lamperti
1
74 kgJohnston
2
75 kgOka
3
58 kgSainbayar
4
60 kgPrades
6
56 kgHashimoto
8
77 kgKuboki
10
68 kg
1
74 kgJohnston
2
75 kgOka
3
58 kgSainbayar
4
60 kgPrades
6
56 kgHashimoto
8
77 kgKuboki
10
68 kg
Weight (KG) →
Result →
77
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMPERTI Luke | 74 |
| 2 | JOHNSTON Liam | 75 |
| 3 | OKA Atsushi | 58 |
| 4 | SAINBAYAR Jambaljamts | 60 |
| 6 | PRADES Benjamín | 56 |
| 8 | HASHIMOTO Eiya | 77 |
| 10 | KUBOKI Kazushige | 68 |