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 = -1.8 * weight + 130
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Rikunov
1
71 kgCherkasov
2
68 kgKurianov
3
74 kgKustadinchev
5
66 kgKomin
10
63 kgFatkullin
23
62 kgSidorov
27
62 kg
1
71 kgCherkasov
2
68 kgKurianov
3
74 kgKustadinchev
5
66 kgKomin
10
63 kgFatkullin
23
62 kgSidorov
27
62 kg
Weight (KG) →
Result →
74
62
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIKUNOV Petr | 71 |
| 2 | CHERKASOV Nikolay | 68 |
| 3 | KURIANOV Stepan | 74 |
| 5 | KUSTADINCHEV Roman | 66 |
| 10 | KOMIN Aleksandr | 63 |
| 23 | FATKULLIN Valerii | 62 |
| 27 | SIDOROV Igor | 62 |