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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kobernyak
1
59 kgMas
2
61 kgKnox
3
58 kgSchreurs
5
69 kgNeilands
6
69 kgSykala
7
72 kgRekita
8
70 kgPearson
9
53 kg
1
59 kgMas
2
61 kgKnox
3
58 kgSchreurs
5
69 kgNeilands
6
69 kgSykala
7
72 kgRekita
8
70 kgPearson
9
53 kg
Weight (KG) →
Result →
72
53
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOBERNYAK Evgeny | 59 |
| 2 | MAS Enric | 61 |
| 3 | KNOX James | 58 |
| 5 | SCHREURS Hamish | 69 |
| 6 | NEILANDS Krists | 69 |
| 7 | SYKALA Wojciech | 72 |
| 8 | REKITA Szymon | 70 |
| 9 | PEARSON Daniel | 53 |