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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Jan
2
62 kgMazzanti
4
64 kgAlbasini
7
65 kgSentjens
9
75 kgVoskamp
12
75 kgGiling
15
72 kgDekkers
16
72 kg
2
62 kgMazzanti
4
64 kgAlbasini
7
65 kgSentjens
9
75 kgVoskamp
12
75 kgGiling
15
72 kgDekkers
16
72 kg
Weight (KG) →
Result →
75
62
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JAN Xavier | 62 |
| 4 | MAZZANTI Luca | 64 |
| 7 | ALBASINI Michael | 65 |
| 9 | SENTJENS Roy | 75 |
| 12 | VOSKAMP Bart | 75 |
| 15 | GILING Bas | 72 |
| 16 | DEKKERS Hans | 72 |