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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Țvetcov
1
69 kgMcNulty
2
69 kgRoberge
4
72 kgHecht
6
72 kgSheehan
8
69 kgVollmer
11
67 kgBickmore
15
74 kgMiles
20
64 kg
1
69 kgMcNulty
2
69 kgRoberge
4
72 kgHecht
6
72 kgSheehan
8
69 kgVollmer
11
67 kgBickmore
15
74 kgMiles
20
64 kg
Weight (KG) →
Result →
74
64
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ȚVETCOV Serghei | 69 |
| 2 | MCNULTY Brandon | 69 |
| 4 | ROBERGE Adam | 72 |
| 6 | HECHT Gage | 72 |
| 8 | SHEEHAN Riley | 69 |
| 11 | VOLLMER Andrew | 67 |
| 15 | BICKMORE Cade | 74 |
| 20 | MILES Carson | 64 |