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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Petrov
1
63 kgRomanik
3
62 kgSousa
4
59 kgBernabéu
7
66 kgAmorim
9
67 kgRoulston
10
81 kgMosquera
11
65 kgPlaza
12
77 kg
1
63 kgRomanik
3
62 kgSousa
4
59 kgBernabéu
7
66 kgAmorim
9
67 kgRoulston
10
81 kgMosquera
11
65 kgPlaza
12
77 kg
Weight (KG) →
Result →
81
59
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 3 | ROMANIK Radosław | 62 |
| 4 | SOUSA Rui | 59 |
| 7 | BERNABÉU David | 66 |
| 9 | AMORIM Gonçalo | 67 |
| 10 | ROULSTON Hayden | 81 |
| 11 | MOSQUERA Ezequiel | 65 |
| 12 | PLAZA Rubén | 77 |