Understanding and interpreting regression analysis

A nurse educator is interested in finding out the academic and non-academic predictors of success nursing students. Given complexity educational clinical learning environments, demographic, factors (age, gender, previous training, personal stressors, demands, motivation, assignment workload, etc) influencing students’ success, she was able to list various potential contributing towards relatively easily. Nevertheless, not all identified will be plausible increased success. Therefore, could use a powerful statistical procedure called regression analysis identify whether likelihood influenced by such as age, motivation education. Regression allows for investigating relationship between variables.1 Usually, variables are labelled dependent or independent. An independent variable an input, driver factor that has impact on (which can also outcome). For example, if we were say age affects performance students, what here? Well here variable, it outcome/dependent variable—in this case, performance. Similarly, educator's critical thinking experience training variables. Regression four primary purposes: description, estimation, …