respond to this....Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. The main goal of linear regression is to find the best-fitting line that represents the relationship between the variables. The dependent variable is the outcome or response variable that you are trying to predict, while the independent variable(s) are the factors that you believe influence the dependent variable. Linear regression should be used when you want to understand the relationship between variables and make predictions based on that relationship. It is commonly used in various fields such as economics, social sciences, and business to analyze trends, forecast outcomes, and make data-driven decisions. In my personal experience, I have applied linear regression in analyzing the relationship between study hours and exam scores. By using linear regression, I was able to determine how study hours impact exam scores and predict the expected score based on the number of hours studied. This information helped me to better plan my study schedule, allocate time effectively, and improve my academic performance. Linear regression provided valuable insights into the relationship between study habits and academic success, allowing me to make informed decisions to achieve my goals