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Fig. 1 Scatter plot of height vs salary for 150 men and 150 women that are simulated as independent variables conditional on gender.
No attempt is made here to study the possibility of wage inequity: we barely use the distributions of height and salary to illustrate the potential effect of a discrete confounder when marginal distributions are nuisance parameters.
One study revealed that every inch of height equaled a salary increase of about $789 per year.
At the height of austerity, Ireland cut government salaries by double-digit percentages, halted investment in public works and introduced a series of new taxes.
Figure 1 displays a sample of 150 men and 150 women where the height and salary are generated independently, but their distributions depend on the gender.
By the 1860s he was at the height of his career, commanding the then-phenomenal salary of $1,000 a week.
He reasons that if the league aims to save the fiscally weak teams through a salary cap lower than current salary levels, it would be "the height of arrogance on the part of the owners" to assume that the players would accept a rollback.
They exaggerate their height and salary.
It talks of salary caps.
Take the matter of salary for starters.
To illustrate, let us generate random data that show a spurious correlation between height and salary.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com