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 + 1
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Williams
1
73 kgStites
2
60 kgSevilla
3
62 kgBickmore
4
74 kgArnopol
5
61 kgHecht
7
72 kg
1
73 kgStites
2
60 kgSevilla
3
62 kgBickmore
4
74 kgArnopol
5
61 kgHecht
7
72 kg
Weight (KG) →
Result →
74
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLIAMS Tyler | 73 |
| 2 | STITES Tyler | 60 |
| 3 | SEVILLA Óscar | 62 |
| 4 | BICKMORE Cade | 74 |
| 5 | ARNOPOL Richard | 61 |
| 7 | HECHT Gage | 72 |