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 = -1.1 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Reguigui
1
69 kgAsadov
2
77 kgÖzgür
7
75 kgKhafi
9
65 kgLagab
15
63 kgMansouri
23
66 kgJulius
24
59 kg
1
69 kgAsadov
2
77 kgÖzgür
7
75 kgKhafi
9
65 kgLagab
15
63 kgMansouri
23
66 kgJulius
24
59 kg
Weight (KG) →
Result →
77
59
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REGUIGUI Youcef | 69 |
| 2 | ASADOV Elchin | 77 |
| 7 | ÖZGÜR Batuhan | 75 |
| 9 | KHAFI Oussama | 65 |
| 15 | LAGAB Azzedine | 63 |
| 23 | MANSOURI Abderrahmane | 66 |
| 24 | JULIUS Jayde | 59 |