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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Strgar
1
62 kgMahorič
2
68 kgBrajkovič
4
60 kgBonča
8
63 kgKvasina
9
72 kgKuschynski
10
65 kgKocjan
12
72 kg
1
62 kgMahorič
2
68 kgBrajkovič
4
60 kgBonča
8
63 kgKvasina
9
72 kgKuschynski
10
65 kgKocjan
12
72 kg
Weight (KG) →
Result →
72
60
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRGAR Matic | 62 |
| 2 | MAHORIČ Mitja | 68 |
| 4 | BRAJKOVIČ Janez | 60 |
| 8 | BONČA Valter | 63 |
| 9 | KVASINA Matija | 72 |
| 10 | KUSCHYNSKI Aleksandr | 65 |
| 12 | KOCJAN Jure | 72 |