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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Saronni
1
65 kgHinault
2
62 kgPrim
3
76 kgBaronchelli
7
72 kgVan Impe
10
59 kgMoser
12
79 kg
1
65 kgHinault
2
62 kgPrim
3
76 kgBaronchelli
7
72 kgVan Impe
10
59 kgMoser
12
79 kg
Weight (KG) →
Result →
79
59
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | HINAULT Bernard | 62 |
| 3 | PRIM Tommy | 76 |
| 7 | BARONCHELLI Gianbattista | 72 |
| 10 | VAN IMPE Lucien | 59 |
| 12 | MOSER Francesco | 79 |