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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Svorada
2
76 kgTrenti
3
68 kgChicchi
5
76 kgZanotti
6
70 kgGiunti
7
62 kgMoreni
8
65 kgPower
10
68 kg
2
76 kgTrenti
3
68 kgChicchi
5
76 kgZanotti
6
70 kgGiunti
7
62 kgMoreni
8
65 kgPower
10
68 kg
Weight (KG) →
Result →
76
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SVORADA Ján | 76 |
| 3 | TRENTI Guido | 68 |
| 5 | CHICCHI Francesco | 76 |
| 6 | ZANOTTI Marco | 70 |
| 7 | GIUNTI Massimo | 62 |
| 8 | MORENI Cristian | 65 |
| 10 | POWER Ciarán | 68 |