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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hansen
1
72 kgValach
3
75 kgRomanik
4
62 kgBroniš
8
74 kgRiška
9
73 kgTybor
13
72 kg
1
72 kgValach
3
75 kgRomanik
4
62 kgBroniš
8
74 kgRiška
9
73 kgTybor
13
72 kg
Weight (KG) →
Result →
75
62
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HANSEN Adam | 72 |
| 3 | VALACH Ján | 75 |
| 4 | ROMANIK Radosław | 62 |
| 8 | BRONIŠ Roman | 74 |
| 9 | RIŠKA Martin | 73 |
| 13 | TYBOR Patrik | 72 |