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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Roglič
1
65 kgMohorič
2
71 kgPer
3
81 kgKorošec
6
75 kgPavlič
8
65 kgGrošelj
9
70 kgFinkšt
12
70 kgRučigaj
15
68 kg
1
65 kgMohorič
2
71 kgPer
3
81 kgKorošec
6
75 kgPavlič
8
65 kgGrošelj
9
70 kgFinkšt
12
70 kgRučigaj
15
68 kg
Weight (KG) →
Result →
81
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 2 | MOHORIČ Matej | 71 |
| 3 | PER David | 81 |
| 6 | KOROŠEC Rok | 75 |
| 8 | PAVLIČ Marko | 65 |
| 9 | GROŠELJ Matic | 70 |
| 12 | FINKŠT Tilen | 70 |
| 15 | RUČIGAJ Žiga | 68 |