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 = 3.1 * weight - 207
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Puppo
1
70 kgBertocco
2
70 kgGodard
3
65 kgPassat
4
71 kgDeforge
17
72 kgGoujon
19
75 kgGarcia
30
73 kgLaurent
37
77 kg
1
70 kgBertocco
2
70 kgGodard
3
65 kgPassat
4
71 kgDeforge
17
72 kgGoujon
19
75 kgGarcia
30
73 kgLaurent
37
77 kg
Weight (KG) →
Result →
77
65
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PUPPO Henri | 70 |
| 2 | BERTOCCO Aldo | 70 |
| 3 | GODARD Robert | 65 |
| 4 | PASSAT Raymond | 71 |
| 17 | DEFORGE André | 72 |
| 19 | GOUJON Jean | 75 |
| 30 | GARCIA Manuel | 73 |
| 37 | LAURENT Marcel | 77 |