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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Eenkhoorn
1
72 kgCraddock
2
69 kgBallerini
3
71 kgLawless
4
72 kgPedersen
5
71 kgCanola
6
66 kgFedeli
8
65 kg
1
72 kgCraddock
2
69 kgBallerini
3
71 kgLawless
4
72 kgPedersen
5
71 kgCanola
6
66 kgFedeli
8
65 kg
Weight (KG) →
Result →
72
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EENKHOORN Pascal | 72 |
| 2 | CRADDOCK Lawson | 69 |
| 3 | BALLERINI Davide | 71 |
| 4 | LAWLESS Chris | 72 |
| 5 | PEDERSEN Casper | 71 |
| 6 | CANOLA Marco | 66 |
| 8 | FEDELI Alessandro | 65 |