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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Shpilevsky
2
78 kgKozontchuk
3
75 kgWeylandt
4
72 kgKostyuk
5
66 kgCaethoven
7
67 kgPauwels
8
65 kgLagutin
9
68 kg
2
78 kgKozontchuk
3
75 kgWeylandt
4
72 kgKostyuk
5
66 kgCaethoven
7
67 kgPauwels
8
65 kgLagutin
9
68 kg
Weight (KG) →
Result →
78
65
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHPILEVSKY Boris | 78 |
| 3 | KOZONTCHUK Dmitry | 75 |
| 4 | WEYLANDT Wouter | 72 |
| 5 | KOSTYUK Denys | 66 |
| 7 | CAETHOVEN Steven | 67 |
| 8 | PAUWELS Serge | 65 |
| 9 | LAGUTIN Sergey | 68 |