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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kritskiy
1
81 kgArguelyes
5
66 kgKrivtsov
7
72 kgShilov
9
67 kgSolomennikov
12
72 kgPorsev
13
80 kg
1
81 kgArguelyes
5
66 kgKrivtsov
7
72 kgShilov
9
67 kgSolomennikov
12
72 kgPorsev
13
80 kg
Weight (KG) →
Result →
81
66
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRITSKIY Timofey | 81 |
| 5 | ARGUELYES Arkimedes | 66 |
| 7 | KRIVTSOV Dmytro | 72 |
| 9 | SHILOV Sergey | 67 |
| 12 | SOLOMENNIKOV Andrei | 72 |
| 13 | PORSEV Alexander | 80 |