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.
Evaluate
![The image displays a mathematical integral. The integral can be described as:
\[ \int \frac{x \, dx}{(x^2 + 1)^2} \]
This integral represents a function that can be solved using methods of integration, specifically focusing on rational functions and polynomial functions.
In simpler terms, it's an expression involving an integral (symbolized by the elongated 'S'), a fraction where the numerator is \(x \) and the denominator is \((x^2 + 1)^2 \), and the variable of integration, \(dx\), indicating that we are integrating with respect to \(x\).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F80e404cd-f8d6-49ee-9818-41f84b3d560a%2F308c83a6-2cf7-4727-bd56-fb48ab71cb36%2Fj2ejeh.jpeg&w=3840&q=75)
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