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 + 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Reguigui
1
69 kgClain
7
59 kgNobel
18
78 kgStenuit
21
77 kgBourgeois
46
61 kgCraven
48
75 kg
1
69 kgClain
7
59 kgNobel
18
78 kgStenuit
21
77 kgBourgeois
46
61 kgCraven
48
75 kg
Weight (KG) →
Result →
78
59
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REGUIGUI Youcef | 69 |
| 7 | CLAIN Médéric | 59 |
| 18 | NOBEL Rick | 78 |
| 21 | STENUIT Robin | 77 |
| 46 | BOURGEOIS Guillaume | 61 |
| 48 | CRAVEN Dan | 75 |