Simple linear regression is a model that assesses the relationship between a dependent variable and an independent variable. The simple linear model is expressed using the following equation:Y = β0+ β1X i+ εi

Xi Is independent Y is dependent

EXAMPLE: Between income and happiness. Survey OF 500 people whose incomes range from $15k to $75k and ask them to rank their happiness on a scale from 1 to 10.

Here the independent variable (income) and dependent variable (happiness) are both quantitative.