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 + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fedorov
1
80 kgTu
2
63 kgChaiyasombat
9
58 kgNur Hasan
13
65 kgCariño
15
56 kgMohd Zariff
16
63 kg
1
80 kgTu
2
63 kgChaiyasombat
9
58 kgNur Hasan
13
65 kgCariño
15
56 kgMohd Zariff
16
63 kg
Weight (KG) →
Result →
80
56
1
16
# | Rider | Weight (KG) |
---|---|---|
1 | FEDOROV Yevgeniy | 80 |
2 | TU Sergio | 63 |
9 | CHAIYASOMBAT Thanakhan | 58 |
13 | NUR HASAN Sandy | 65 |
15 | CARIÑO Daniel Ven | 56 |
16 | MOHD ZARIFF Muhammad Nur Aiman | 63 |