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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Latour
1
66 kgOchoa
3
61 kgGrellier
6
65 kgArmirail
9
72 kgBaillifard
10
54 kgAristi
13
72 kg
1
66 kgOchoa
3
61 kgGrellier
6
65 kgArmirail
9
72 kgBaillifard
10
54 kgAristi
13
72 kg
Weight (KG) →
Result →
72
54
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 3 | OCHOA Diego Antonio | 61 |
| 6 | GRELLIER Fabien | 65 |
| 9 | ARMIRAIL Bruno | 72 |
| 10 | BAILLIFARD Valentin | 54 |
| 13 | ARISTI Mikel | 72 |