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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bruyneel
1
71 kgKelly
2
77 kgRominger
8
65 kgBölts
19
73 kgMartinello
20
71 kg
1
71 kgKelly
2
77 kgRominger
8
65 kgBölts
19
73 kgMartinello
20
71 kg
Weight (KG) →
Result →
77
65
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUYNEEL Johan | 71 |
| 2 | KELLY Sean | 77 |
| 8 | ROMINGER Tony | 65 |
| 19 | BÖLTS Udo | 73 |
| 20 | MARTINELLO Silvio | 71 |