Linear regression is a statistical tool commonly used to find a relationship that exists between a variable and one explanatory variable. What are the factors that affect a linear regression model? How can you accomplish linear regression in R? Solution the factors affecting linear regression model during implementation stages: Are the variables easily accessible to run the model. Is the model going to be used within the domain with which it was intended is the model validated? how long moel prediction remain valid as time passes.