Linear regression in Machine learning

Let's understand this concept with a simple example. You want to apply for US University to pursue Master's degree. Then the factors on which whether you will get an admit letter from a particular University depends on the following factors i.e. GRE Score, TOEFL Score, Number of research papers published, SOP and Letter of recommendation so, basically speaking in data science terms these are your independent variables and the chances of you being admitted into an university is your dependent variable which you predict based on your independent variables. In simple terms the thing which you need to predict falls under dependent variable and the factors on which your prediction is based on are your independent variables.