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 = -0.9 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Kritskiy
2
81 kgPorsev
5
80 kgKuznetsov
8
70 kgKrivtsov
14
72 kgShilov
17
67 kg
2
81 kgPorsev
5
80 kgKuznetsov
8
70 kgKrivtsov
14
72 kgShilov
17
67 kg
Weight (KG) →
Result →
81
67
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRITSKIY Timofey | 81 |
| 5 | PORSEV Alexander | 80 |
| 8 | KUZNETSOV Viacheslav | 70 |
| 14 | KRIVTSOV Dmytro | 72 |
| 17 | SHILOV Sergey | 67 |