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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Roche
1
74 kgPrim
3
76 kgBaronchelli
9
72 kgZoetemelk
12
68 kgNevens
18
58 kg
1
74 kgPrim
3
76 kgBaronchelli
9
72 kgZoetemelk
12
68 kgNevens
18
58 kg
Weight (KG) →
Result →
76
58
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 3 | PRIM Tommy | 76 |
| 9 | BARONCHELLI Gianbattista | 72 |
| 12 | ZOETEMELK Joop | 68 |
| 18 | NEVENS Jan | 58 |