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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Pintarič
1
69 kgGabriel
2
60 kgMikhaylov
7
74 kgLudewig
10
75 kgKuschynski
12
65 kg
1
69 kgGabriel
2
60 kgMikhaylov
7
74 kgLudewig
10
75 kgKuschynski
12
65 kg
Weight (KG) →
Result →
75
60
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINTARIČ Robert | 69 |
| 2 | GABRIEL Frédéric | 60 |
| 7 | MIKHAYLOV Gennady | 74 |
| 10 | LUDEWIG Jörg | 75 |
| 12 | KUSCHYNSKI Aleksandr | 65 |