Regression analysis can be used to accurately identify the factors that influence a certain topic of interest.
Regression analysis is a reliable method for determining the variables that affect a certain problem. Regression analysis gives you the ability to precisely pinpoint the factors that are most crucial, those that may be disregarded, and the connections between these elements.
Linear models are the most widely used and user-friendly types. If your dependent variable is continuous, linear regression is often the first type you should take into account. There are a few distinct options offered for linear regression.
It basically argues that if GDP grows quickly, the unemployment rate decreases, growth is very low or negative, the unemployment rate increases, and growth is equal to potential, the unemployment rate does not change. This theory was put forth by economist Arthur Okun in 1962.
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