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 = 1.4 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Firsanov
1
58 kgNepomnyachshiy
4
62 kgIgnatenko
7
63 kgShilov
10
67 kgMironov
11
68 kgKuznetsov
19
70 kgOjavee
31
80 kg
1
58 kgNepomnyachshiy
4
62 kgIgnatenko
7
63 kgShilov
10
67 kgMironov
11
68 kgKuznetsov
19
70 kgOjavee
31
80 kg
Weight (KG) →
Result →
80
58
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 4 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 7 | IGNATENKO Petr | 63 |
| 10 | SHILOV Sergey | 67 |
| 11 | MIRONOV Alexander | 68 |
| 19 | KUZNETSOV Viacheslav | 70 |
| 31 | OJAVEE Mart | 80 |