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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Newbery
1
75 kgFelipe
2
58 kgGarcía
3
68 kgKolahdozhagh
4
60 kgManulang
7
59 kgSaleh
10
58 kg
1
75 kgFelipe
2
58 kgGarcía
3
68 kgKolahdozhagh
4
60 kgManulang
7
59 kgSaleh
10
58 kg
Weight (KG) →
Result →
75
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWBERY Dylan | 75 |
| 2 | FELIPE Marcelo | 58 |
| 3 | GARCÍA Ricardo | 68 |
| 4 | KOLAHDOZHAGH Amir | 60 |
| 7 | MANULANG Robin | 59 |
| 10 | SALEH Mohd Zamri | 58 |