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Least Squares Meaning In Bengali
Least Squares শব্দের বাংলা অর্থ কি: অন্তত চৌকো
Least Squares
Definition
1) In the context of statistics and mathematics, 'Least Squares' refers to a method used to find the best-fitting line or curve by minimizing the sum of the squares of the differences between observed and predicted values.
2) 'Least Squares' can also be a regression analysis technique that estimates the relationship between independent and dependent variables by minimizing the sum of the squared differences between actual and predicted values.
3) The term 'Least Squares' can be used more broadly in optimization problems to denote a method that minimizes the sum of the squared differences between observed and calculated values in order to find the best-fitting model or solution.
Examples
Least Squares Example in a sentence
1) The least squares method is commonly used in regression analysis to find the best-fitting line through a set of data points.
2) By minimizing the sum of the squared differences between observed and predicted values, least squares regression can determine the line of best fit.
3) The least squares approach is especially useful in situations where there is random error present in the data.
4) Researchers often apply least squares estimation to determine the parameters of a mathematical model that best describes the relationship between variables.
5) Engineers use least squares regression to analyze experimental data and make predictions based on statistical principles.
6) In finance, least squares modeling is employed to forecast future trends and make informed decisions regarding investments.
7) The ordinary least squares method is a common technique for estimating the coefficients in a linear regression model.
8) Scientists often apply the least squares method to minimize the discrepancies between observed data and theoretical predictions in their research.
9) Least squares analysis allows statisticians to calculate the line that minimizes the sum of the squared residuals in a dataset.
10) Economists use least squares regression to analyze economic data and infer relationships between variables in the field of econometrics.
Synonyms
Encyclopedia
In the context of statistics and mathematics, 'Least Squares' refers to a method used to find the best-fitting line or curve by minimizing the sum of the squares of the differences between observed and predicted values.
'Least Squares' can also be a regression analysis technique that estimates the relationship between independent and dependent variables by minimizing the sum of the squared differences between actual and predicted values.
The term 'Least Squares' can be used more broadly in optimization problems to denote a method that minimizes the sum of the squared differences between observed and calculated values in order to find the best-fitting model or solution.
