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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Mironov
1
68 kgFirsanov
4
58 kgShilov
9
67 kgKuznetsov
11
70 kgOjavee
12
80 kgIgnatenko
22
63 kgNepomnyachshiy
46
62 kg
1
68 kgFirsanov
4
58 kgShilov
9
67 kgKuznetsov
11
70 kgOjavee
12
80 kgIgnatenko
22
63 kgNepomnyachshiy
46
62 kg
Weight (KG) →
Result →
80
58
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIRONOV Alexander | 68 |
| 4 | FIRSANOV Sergey | 58 |
| 9 | SHILOV Sergey | 67 |
| 11 | KUZNETSOV Viacheslav | 70 |
| 12 | OJAVEE Mart | 80 |
| 22 | IGNATENKO Petr | 63 |
| 46 | NEPOMNYACHSHIY Yevgeniy | 62 |