## Explanatory Variable & Response Variable: Simple Definition and Uses

An informative variable is a kind of free factor. The two terms are frequently utilized reciprocally. However, there is an inconspicuous distinction between the two. At the point when a variable is autonomous, it isn’t influenced at all by some other factors. At the point when a variable isn’t autonomous for certain, it’s an […]

## Dot Plot in Statistics: What it is and How to read one

Dot Plot: Definition A Dot Plot additionally called a A Dot Plot, also called a dot chart or strip plot, is a type of simple histogram-like chart used in statistics for relatively small data sets where values fall into a number of discrete bins (categories). A dot plot is like a structured presentation in light […]

## An Introduction to Decision Tree

Machine learning is becoming more and more sophisticated. So much so that it can help with decision making too. A decision tree is essentially a layout of various outcomes associated with a series of choices related to each other. Organizations and individuals can utilize it to weight their actions based on multiple factors such […]

## Convolution

Introduction Convolution is a mathematical operation that makes the product integral of 2 functions (signals), with one of the signals upside down. For instance, below we convolve 2 f(t) and g(t) signals. So the first thing to do is to flip the g signal horizontally (180 degrees), and then slide the g upside down on […]

## Sensitivity Analysis

What Is Sensitivity Analysis? An affectability investigation decides how various estimations of a free factor influence a specific ward variable under a given arrangement of suspicions. At the end of the day, affectability investigations study how different wellsprings of vulnerability in a scientific model add to the model’s general vulnerability. This system is utilized inside […]

## Variance-Covariance Matrix

This lesson explains how to use matrix methods to generate a variance-covariance matrix from a matrix of raw data. Variance Variance is a proportion of the fluctuation or spread in a lot of information. Scientifically, it is the normal squared deviation from the mean score. We utilize the accompanying equation to figure change. Var(X) = […]

## What is a Scale Factor

Definition, Formula & Examples Two geometric figures appear similar if their corresponding angles are equal and their corresponding sides are proportional. One ratio is a fraction that compares two quantities. This picture shows two similar figures with 4 sides. The blue and red figures are similar. The blue and red figures are similar The blue […]

## Bayesian Statistics explained to Beginners

Introduction Bayesian Measurements keeps on staying immeasurable in the lighted personalities of numerous investigators. Being stunned by the unbelievable intensity of AI, a great deal of us have turned out to be unfaithful to insights. Our center has limited to investigating AI. Is it true that it isn’t valid? We neglect to comprehend that […]

## R-Squared Definition

What’s R-Squared? R-squared (R2) is a statistical measure representing the proportion of the variance for a dependent variable that is explained by one or more independent variables in a regression model. While correlation explains the strength of the relationship between an independent variable and a dependent variable, R-squared explains the extent to which the variance […]

## Regression Equation: What it is and How to use it

Regression equation: Overview A regression equation is used in statistics to find out what relationship, if any, exists between data sets. For example, if you measure the height of a child each year you might find that it grows about 3 inches a year. This trend (which grows by three inches per year) can be […]