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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Reguigui
1
69 kgClain
5
59 kgStenuit
8
77 kgCraven
13
75 kgNobel
17
78 kgBourgeois
26
61 kg
1
69 kgClain
5
59 kgStenuit
8
77 kgCraven
13
75 kgNobel
17
78 kgBourgeois
26
61 kg
Weight (KG) →
Result →
78
59
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REGUIGUI Youcef | 69 |
| 5 | CLAIN Médéric | 59 |
| 8 | STENUIT Robin | 77 |
| 13 | CRAVEN Dan | 75 |
| 17 | NOBEL Rick | 78 |
| 26 | BOURGEOIS Guillaume | 61 |