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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Reguigui
2
69 kgClain
3
59 kgStenuit
17
77 kgCraven
19
75 kgBourgeois
35
61 kgNobel
36
78 kg
2
69 kgClain
3
59 kgStenuit
17
77 kgCraven
19
75 kgBourgeois
35
61 kgNobel
36
78 kg
Weight (KG) →
Result →
78
59
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REGUIGUI Youcef | 69 |
| 3 | CLAIN Médéric | 59 |
| 17 | STENUIT Robin | 77 |
| 19 | CRAVEN Dan | 75 |
| 35 | BOURGEOIS Guillaume | 61 |
| 36 | NOBEL Rick | 78 |