Theorem 2.31. In the standard topology on R", if p is a limit point of a set A, then there is a sequence of points in A that converges to p.
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.
Could you explanin how to prove 2.31 using definitions below?
![**Theorem 2.30.** Let \( A \) be a subset of the topological space \( X \), and let \( p \) be a point in \( X \). If the set \(\{x_i\}_{i \in \mathbb{N}} \subset A\) and \( x_i \to p \), then \( p \) is in the closure of \( A \).
As we shall see later, in some topological spaces, the converse of the previous result is not true. But it is true for \(\mathbb{R}^n\).
**Theorem 2.31.** In the standard topology on \(\mathbb{R}^n\), if \( p \) is a limit point of a set \( A \), then there is a sequence of points in \( A \) that converges to \( p \).
**Definition.** Let \( (X, \mathcal{J}) \) be a topological space, \( A \) a subset of \( X \), and \( p \) a point in \( X \). Then \( p \) is a *limit point* of \( A \) if and only if for each open set \( U \) containing \( p \), \( (U - \{p\}) \cap A \neq \emptyset \). Notice that \( p \) may or may not belong to \( A \).
**Definition.** A *sequence* in a topological space \( X \) is a function from \( \mathbb{N} \) to \( X \). The image of \( i \) under this function is a point of \( X \) denoted \( x_i \) and we traditionally write the sequence by listing its images: \( x_1, x_2, x_3, \ldots \) or in shorter form: \((x_i)_{i \in \mathbb{N}}\).
**Definition.** A point \( p \in X \) is a *limit of the sequence* \((x_i)_{i \in \mathbb{N}}\), or, equivalently, \((x_i)_{i \in \mathbb{N}}\) *converges to* \( p \) (written \( x_i \to p \)), if and only if for every open set \( U \)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbfa77723-e387-48dc-857e-67a9efe99fb1%2Ffa7907f3-3baa-4964-9573-f322274d629a%2Feg91byl_processed.png&w=3840&q=75)
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