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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Simmons
1
73 kgMainguenaud
2
63 kgHollyman
7
59 kgKrul
8
75 kgMarsman
9
75 kgHealy
10
65 kgRetailleau
12
64 kg
1
73 kgMainguenaud
2
63 kgHollyman
7
59 kgKrul
8
75 kgMarsman
9
75 kgHealy
10
65 kgRetailleau
12
64 kg
Weight (KG) →
Result →
75
59
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMMONS Quinn | 73 |
| 2 | MAINGUENAUD Tom | 63 |
| 7 | HOLLYMAN Mason | 59 |
| 8 | KRUL Wessel | 75 |
| 9 | MARSMAN Tim | 75 |
| 10 | HEALY Ben | 65 |
| 12 | RETAILLEAU Valentin | 64 |