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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Newton
4
69 kgBazayev
5
62 kgIglinskiy
8
67 kgManning
10
76 kgElliott
15
76 kg
4
69 kgBazayev
5
62 kgIglinskiy
8
67 kgManning
10
76 kgElliott
15
76 kg
Weight (KG) →
Result →
76
62
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | NEWTON Christopher | 69 |
| 5 | BAZAYEV Assan | 62 |
| 8 | IGLINSKIY Maxim | 67 |
| 10 | MANNING Paul | 76 |
| 15 | ELLIOTT Malcolm | 76 |