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 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Jang
1
64 kgYamamoto
4
62 kgZargari
6
62 kgKimura
7
61 kgMonier
10
75 kgKim
12
70 kgChaparro
14
54 kg
1
64 kgYamamoto
4
62 kgZargari
6
62 kgKimura
7
61 kgMonier
10
75 kgKim
12
70 kgChaparro
14
54 kg
Weight (KG) →
Result →
75
54
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANG Kyung-Gu | 64 |
| 4 | YAMAMOTO Genki | 62 |
| 6 | ZARGARI Amir | 62 |
| 7 | KIMURA Keisuke | 61 |
| 10 | MONIER Damien | 75 |
| 12 | KIM Ok Cheol | 70 |
| 14 | CHAPARRO Didier | 54 |