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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gasparre
1
60 kgPérez
3
68 kgChicchi
4
76 kgPinotti
5
67 kgPower
6
68 kgKlemenčič
8
69 kgTrenti
9
68 kgNoè
10
65 kg
1
60 kgPérez
3
68 kgChicchi
4
76 kgPinotti
5
67 kgPower
6
68 kgKlemenčič
8
69 kgTrenti
9
68 kgNoè
10
65 kg
Weight (KG) →
Result →
76
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GASPARRE Graziano | 60 |
| 3 | PÉREZ Marlon Alirio | 68 |
| 4 | CHICCHI Francesco | 76 |
| 5 | PINOTTI Marco | 67 |
| 6 | POWER Ciarán | 68 |
| 8 | KLEMENČIČ Zoran | 69 |
| 9 | TRENTI Guido | 68 |
| 10 | NOÈ Andrea | 65 |