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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Aus
1
75 kgGabriel
2
60 kgMickiewicz
3
74 kgHorner
4
70 kgLangella
5
76 kg
1
75 kgGabriel
2
60 kgMickiewicz
3
74 kgHorner
4
70 kgLangella
5
76 kg
Weight (KG) →
Result →
76
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUS Lauri | 75 |
| 2 | GABRIEL Frédéric | 60 |
| 3 | MICKIEWICZ Jacek | 74 |
| 4 | HORNER Chris | 70 |
| 5 | LANGELLA Anthony | 76 |