The subject of regression has been studied by scientists for nearly a century. It can be traced back to earlier works in which the idea was applied to astronomy. From there it went on to become a staple course material in graduate school for statistics. Today, regression is used to model and interpret economic data. The subject of regression and multivariate analysis can be traced back to when computers first started being used in science and mathematics.

The computer age arrived and with it came the ability to crunch numbers. Suddenly, scientists were able to process massive amounts of information quickly and efficiently. Thanks to this new era of computing, statisticians were no longer restricted to studying only statistics. They were now able to apply their statistical methods to almost every area of study including business. Regression and multivariate analysis courses became a necessity for university students interested in pursing a bachelor’s degree in statistics.

As mentioned, regression and multivariate statistics are necessary parts of any statistical method used in the study of statistics. For example, the sample mean, the variance, and the standard deviation all come from regression. When a set of numbers is studied, one can calculate the normal distribution of that number, or the normal value of the mean. Another example of this would be calculating the probability density function, which is very common in calculus. This type of function allows the researcher to calculate the probability that a certain number will be in the range given.

Now that we understand what regression and multivariate analysis are, let us see how they can be useful for taking the standardized tests commonly taken in college and university testing. The SAT is a well-known test that many students fail. Many blame the low performance on math and other criteria, but the real reason is that students don’t understand the concepts in the SAT and they cannot relate the answer to the questions they’ve been asked. Through regression and multivariate analysis, a student can gain a better understanding of the SAT. Furthermore, the exam will become easier because he/she will be able to visualize the results.

When I took the SAT, I decided that I was going to take a more traditional approach. I knew that I wanted to do a regression and multivariate analysis. I also knew that I needed help with the test. Luckily, my family had also done study guides before, so I knew that I had some options. Since I was already planning to take the SAT, I wasn’t too worried about whether or not I would take my test in the next four years as I had already completed my requirements.

Now that I had a better idea about regression and multivariate analysis, I began my search for a good study guide to help me with the exam. Luckily, my parents had also done their homework and found a resource that will help anyone prepare for the SAT. They created a study guide that takes the information from the regression and multivariate analysis and uses it to help students determine which areas of the SAT require the most concentration and study.

What really made the difference for me was the advice that was given regarding my percentile and bracket comparisons. Knowing that I was doing well on all of the sections except for the Math section, I really needed to do my homework on how I was performing compared to my peers. This way I could pinpoint areas where I needed more practice and study time. The regression and multivariate regression exam is a big deal because it determines if I should go ahead and get my degree or not. I will definitely take the exam for me but I will also be taking the SAT knowing that I am prepared in every section, and I will have benefited greatly from my parents’ resource.