Question: Explain Simple Linear Regression for confounders using The unstandardized regression coefficient (B)and Multiple Linear Regression for confounders for the below example. A study of the

Explain Simple Linear Regression for confounders using The unstandardized regression coefficient (B)and Multiple Linear Regression for confounders for the below example.

A study of the relationship between contact lens use and the risk of eye ulcers. The crude risk ratio is 3.0 and the age-adjusted risk ratio is 1.5.

When adjusting for the confounder, does the percent change in the coefficient surpass the widely recognized threshold of 10%? In that case, can we reasonably conclude that the confounder is distorting the observed relationship?

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