13000- 12000- 11000- 10000- 9000 8000- 7000- 6000- 5000 4000- 6 9 12 15 18 21 Use the above scatter plot to decide which model better fits the data. none linear quadratic Let C(t) be the cost of tuition at CBU in dollars for t years since 1990. A quadratic model for the data is C(t) = Use three decimals in your answer. Estimate the tuition in 2014. $ Use the model to predict the year in which the tuition will be $15125.
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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