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 = 2 * weight - 109
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Van Impe
1
59 kgBourreau
9
63 kgTschan
12
68 kgMartin
16
62 kgParenteau
22
68 kgGilson
30
70 kgGaida
35
65 kg
1
59 kgBourreau
9
63 kgTschan
12
68 kgMartin
16
62 kgParenteau
22
68 kgGilson
30
70 kgGaida
35
65 kg
Weight (KG) →
Result →
70
59
1
35
# | Rider | Weight (KG) |
---|---|---|
1 | VAN IMPE Lucien | 59 |
9 | BOURREAU Bernard | 63 |
12 | TSCHAN Jürgen | 68 |
16 | MARTIN Raymond | 62 |
22 | PARENTEAU Jean-Pierre | 68 |
30 | GILSON Roger | 70 |
35 | GAIDA Alfred | 65 |