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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Healy
1
65 kgHollyman
2
59 kgCiuccarelli
6
55 kgSyritsa
10
85 kgMarcellusi
16
62 kgGonov
18
76 kgConing
23
63 kg
1
65 kgHollyman
2
59 kgCiuccarelli
6
55 kgSyritsa
10
85 kgMarcellusi
16
62 kgGonov
18
76 kgConing
23
63 kg
Weight (KG) →
Result →
85
55
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEALY Ben | 65 |
| 2 | HOLLYMAN Mason | 59 |
| 6 | CIUCCARELLI Riccardo | 55 |
| 10 | SYRITSA Gleb | 85 |
| 16 | MARCELLUSI Martin | 62 |
| 18 | GONOV Lev | 76 |
| 23 | CONING Ash | 63 |