Watch help video Claire accepted a new job at a company with a contract guaranteeing annual raises. Let S represent Claire's salary after working for n years at the company. The table below has select values showing the linear relationship between n and S. Determine how many years Claire would have to work at the company before her salary would reach $77000. 2 59000 5 72500
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![Watch help video
Claire accepted a new job at a company with a contract guaranteeing annual raises.
Let S represent Claire's salary after working forn years at the company. The table
below has select values showing the linear relationship between n and S. Determine
how many years Claire would have to work at the company before her salary would
reach $77000.
59000
72500
9.
90500
2]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F57266ccc-056a-4622-ba11-f4bfac56ef97%2F4e71f410-e08b-427d-91fd-4ee544f33524%2Fpdrqdze_processed.jpeg&w=3840&q=75)
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