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 = 0.4 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Firsanov
1
58 kgIgnatenko
2
63 kgMironov
7
68 kgKuznetsov
15
70 kgOjavee
16
80 kgShilov
29
67 kgNepomnyachshiy
30
62 kg
1
58 kgIgnatenko
2
63 kgMironov
7
68 kgKuznetsov
15
70 kgOjavee
16
80 kgShilov
29
67 kgNepomnyachshiy
30
62 kg
Weight (KG) →
Result →
80
58
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | IGNATENKO Petr | 63 |
| 7 | MIRONOV Alexander | 68 |
| 15 | KUZNETSOV Viacheslav | 70 |
| 16 | OJAVEE Mart | 80 |
| 29 | SHILOV Sergey | 67 |
| 30 | NEPOMNYACHSHIY Yevgeniy | 62 |