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 = 1.2 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Onodera
1
65 kgNatarov
3
68 kgTu
5
63 kgGanjkhanlou
11
72 kgAlrabie
16
73 kg
1
65 kgNatarov
3
68 kgTu
5
63 kgGanjkhanlou
11
72 kgAlrabie
16
73 kg
Weight (KG) →
Result →
73
63
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ONODERA Rei | 65 |
| 3 | NATAROV Yuriy | 68 |
| 5 | TU Sergio | 63 |
| 11 | GANJKHANLOU Mohammad | 72 |
| 16 | ALRABIE Mostafa | 73 |