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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Duclos-Lassalle
1
73 kgWeltz
2
65 kgEarley
3
62 kgZamana
7
74 kgDufaux
8
60 kgSimon
9
70 kg
1
73 kgWeltz
2
65 kgEarley
3
62 kgZamana
7
74 kgDufaux
8
60 kgSimon
9
70 kg
Weight (KG) →
Result →
74
60
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | DUCLOS-LASSALLE Gilbert | 73 |
2 | WELTZ Johnny | 65 |
3 | EARLEY Martin | 62 |
7 | ZAMANA Cezary | 74 |
8 | DUFAUX Laurent | 60 |
9 | SIMON François | 70 |