year 2000 2005 2010 2015 2016 2020 2024 enrollement 47,794 49549 50354 50959 5122 52114 53938 A). use cubic regression to find a third-order polynomial function9(x) that models this data g(x)=( )x3+( )x2+ ( )x+( )
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.
| year | 2000 | 2005 | 2010 | 2015 | 2016 | 2020 | 2024 |
| enrollement | 47,794 | 49549 | 50354 | 50959 | 5122 | 52114 | 53938 |
A). use cubic regression to find a third-order polynomial function9(x) that models this data
g(x)=( )x3+( )x2+ ( )x+( )
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