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Coefficients refer to the statistics details that multiply the available factors or parameters in a specific equation. The graph of an equation is affected by the sign of its coefficients and their sizes. The technique of regression coefficient is like the slope of the regression equation’s line. The coefficient of a straightforward linear equation (with

Total probability in statistics can be defined as a fundamental rule intrinsic to marginal probabilities as well as conditional probabilities. Compound probability mathematically represents the likelihood of consecutive events happening at a time. It denotes the probability of the first event which is multiplied by the probability of any second particular event. The article will

Introduction In the wider scope of statistics, a time series is a sequence that shows discrete-time data. Time series analysis is oftentimes done through a line chart or run chart and it has a varied field of application ranging from statistics to pattern recognition, electroencephalography, communications engineering, mathematical finance, and weather forecasting. Time series analysis,

What is the Time Series?  When the values of a variable are recorded concerning the time of its occurrence, then the arrangement is known as a Time Series. Time Series helps in understanding the trend, periodicity, etc. in long-term time-series data. The period may be a year, quarter, month, week, days, hours, and so on. Time series graph is

Introduction: In daily life and practical scenarios, there is rarely any experiment with one definite outcome like on or off, or a particular thing will happen or will not happen. In statistics, specific procedures are repeated for n number of times, and the results are accumulated and represented as theoretical distribution.  The frequency distribution is obtained

A statistical representation of data is a graphical way of representing data in statistics. It helps to understand the distribution of data and to identify any patterns. There are different types of graphs that can be used, depending on the type of data being represented. In this blog post, we will discuss the different types

What is a standard deviation? In statistics, standard deviation measures the data set dispersion relative to its mean. It is measured as a square root (sq. root) of the variance. The process standard deviation was given by Karl Pearson in 1893. Standard deviation is calculated by the sq. root of the variance by summing each

Introduction In statistics, a regression line is a tool that is used to analyze the relationship between two variables. There are different types of regression lines, but the most common is the least-squares regression line. This type of regression line is used to find the point of intersection of two regression lines, and to determine

Quartile is a branch of statistics that is a type of quantile. This divides any given data set into four parts (or quarters) of the same size as possible. The second quartile is the median of the data set. The first quartile is the point exactly between the smallest number and the median of the