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 - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hollyman
3
59 kgHealy
4
65 kgPopov
5
75 kgDonovan
6
70 kgMarcellusi
10
62 kgSyritsa
15
85 kg
3
59 kgHealy
4
65 kgPopov
5
75 kgDonovan
6
70 kgMarcellusi
10
62 kgSyritsa
15
85 kg
Weight (KG) →
Result →
85
59
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOLLYMAN Mason | 59 |
| 4 | HEALY Ben | 65 |
| 5 | POPOV Anton | 75 |
| 6 | DONOVAN Mark | 70 |
| 10 | MARCELLUSI Martin | 62 |
| 15 | SYRITSA Gleb | 85 |