year, x tultion, y The data in the chart show the cost of tuition at a state university for the years 1997-2001. Fi a regression line to the data, where x is the number of years after 1997 Then fnd the coeficient of correlation Finally, use the regression 2. (1999) 11.006 Ine to predict the cost of tution in 2004, 2007, and 2010 0.(1997) 9743 1. (1998) 10,369 3. (2000) 4 (2001) 12.077 11,486 Choose the conecd regression line OA y9779 2x+5785 OB y 578 Sx 9779 2 OD. y=97792 OC y578 S-9779 2
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.
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