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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
McEwen
1
67 kgIvanov
2
73 kgEtxebarria
3
55 kgWadecki
4
70 kgHeulot
5
69 kgKlier
7
72 kgde Jongh
8
76 kgSweet
10
69 kg
1
67 kgIvanov
2
73 kgEtxebarria
3
55 kgWadecki
4
70 kgHeulot
5
69 kgKlier
7
72 kgde Jongh
8
76 kgSweet
10
69 kg
Weight (KG) →
Result →
76
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | IVANOV Sergei | 73 |
| 3 | ETXEBARRIA David | 55 |
| 4 | WADECKI Piotr | 70 |
| 5 | HEULOT Stéphane | 69 |
| 7 | KLIER Andreas | 72 |
| 8 | DE JONGH Steven | 76 |
| 10 | SWEET Jay | 69 |