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 = -0.2 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Tybor
1
72 kgJohnston
2
55 kgMeiler
3
65 kgDouble
6
56 kgPiaskowy
7
60 kg
1
72 kgJohnston
2
55 kgMeiler
3
65 kgDouble
6
56 kgPiaskowy
7
60 kg
Weight (KG) →
Result →
72
55
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TYBOR Patrik | 72 |
| 2 | JOHNSTON Calum | 55 |
| 3 | MEILER Lukas | 65 |
| 6 | DOUBLE Paul | 56 |
| 7 | PIASKOWY Emanuel | 60 |