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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Edo
1
64 kgGarrido
2
70 kgMarkov
4
80 kgJeker
6
72 kgSabido
7
70 kgBernabéu
9
66 kgSarkauskas
21
74 kgMøller
22
70 kg
1
64 kgGarrido
2
70 kgMarkov
4
80 kgJeker
6
72 kgSabido
7
70 kgBernabéu
9
66 kgSarkauskas
21
74 kgMøller
22
70 kg
Weight (KG) →
Result →
80
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 2 | GARRIDO Martin Gerardo | 70 |
| 4 | MARKOV Alexei | 80 |
| 6 | JEKER Fabian | 72 |
| 7 | SABIDO Hugo | 70 |
| 9 | BERNABÉU David | 66 |
| 21 | SARKAUSKAS Saulius | 74 |
| 22 | MØLLER Claus Michael | 70 |