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 = 0.4 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Reguigui
6
69 kgClain
11
59 kgCraven
18
75 kgNobel
24
78 kgBourgeois
31
61 kgStenuit
32
77 kg
6
69 kgClain
11
59 kgCraven
18
75 kgNobel
24
78 kgBourgeois
31
61 kgStenuit
32
77 kg
Weight (KG) →
Result →
78
59
6
32
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | REGUIGUI Youcef | 69 |
| 11 | CLAIN Médéric | 59 |
| 18 | CRAVEN Dan | 75 |
| 24 | NOBEL Rick | 78 |
| 31 | BOURGEOIS Guillaume | 61 |
| 32 | STENUIT Robin | 77 |