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 = -1.5 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Craven
1
75 kgNobel
5
78 kgStenuit
8
77 kgReguigui
9
69 kgClain
16
59 kgBourgeois
50
61 kg
1
75 kgNobel
5
78 kgStenuit
8
77 kgReguigui
9
69 kgClain
16
59 kgBourgeois
50
61 kg
Weight (KG) →
Result →
78
59
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRAVEN Dan | 75 |
| 5 | NOBEL Rick | 78 |
| 8 | STENUIT Robin | 77 |
| 9 | REGUIGUI Youcef | 69 |
| 16 | CLAIN Médéric | 59 |
| 50 | BOURGEOIS Guillaume | 61 |