![]() The type of data described in these examples is bivariate data - “bi” for two variables. The amount you pay a repair person for labor is often determined by an initial amount plus an hourly fee. In another example, your income may be determined by your education, your profession, your years of experience, and your ability. For example, is there a relationship between the grade on the second math exam a student takes and the grade on the final exam? If there is a relationship, what is the relationship and how strong is it? Professionals often want to know how two (or more) numeric variables are related. Linear regression and correlation can help you determine if an auto mechanic’s salary is related to his work experience.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |