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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Swift
1
69 kgManning
2
76 kgPalomares
3
56 kgSerov
4
77 kgCavendish
5
70 kg
1
69 kgManning
2
76 kgPalomares
3
56 kgSerov
4
77 kgCavendish
5
70 kg
Weight (KG) →
Result →
77
56
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWIFT Ben | 69 |
| 2 | MANNING Paul | 76 |
| 3 | PALOMARES Adrián | 56 |
| 4 | SEROV Alexander | 77 |
| 5 | CAVENDISH Mark | 70 |