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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Firsanov
1
58 kgMironov
2
68 kgOjavee
4
80 kgIgnatenko
5
63 kgKuznetsov
11
70 kgShilov
13
67 kgNepomnyachshiy
26
62 kg
1
58 kgMironov
2
68 kgOjavee
4
80 kgIgnatenko
5
63 kgKuznetsov
11
70 kgShilov
13
67 kgNepomnyachshiy
26
62 kg
Weight (KG) →
Result →
80
58
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | MIRONOV Alexander | 68 |
| 4 | OJAVEE Mart | 80 |
| 5 | IGNATENKO Petr | 63 |
| 11 | KUZNETSOV Viacheslav | 70 |
| 13 | SHILOV Sergey | 67 |
| 26 | NEPOMNYACHSHIY Yevgeniy | 62 |