Which of the following statements best describes why a linear regression is also called a leastsquares réğression modēt?a. A linear regression is alsp.called a least şguares regręssion model because theregression line is calculated by minimising thể square of each äctual ý datâ value andthe predictéd y value.b. A linear regression is alsp.called a least şguares regression modęl because theregression line is calculąted by minimişing the sum of the square of thē differencesbetween each actual y dătā válüe and the predicted y value.C. A linear regręssion is also.called a least şguares regression model þecause theregression line is calculated, by minimisıng the sum'of the difference bētween each actualy dátā valuë and the predictēd ý valúe.d. A linear regression is alsp.called a least sguares regression, model because theregressionline is calculated by minimising the square of the difference bētween eachactuāl x datä value and the predicted x value.

A linear regression model is called as least squares regression model since it is line that…

Which of the following stafements best describes why a linear regression is also called a least squares reģression mbdet? o a. A linear regression is alsp called IER ZHE Sauare of each actual y datä value and the'predictëd y value. regression model because the b. A linear regression is aISPcallednISIRA ZHE SUm orthe square of the differences regression line is calculąted by between each actual y a least sguares regression model þecause the válue and thể predictèd ý válue. iş also called a least şguares regressipn model because the O AInear fegressiorCliafed by'inmising tHe sum of the difference bětween êách actual régressioh line y dată valuë and the ý value. d. A linear regression line is calculated by minimising, the square of the difference between each actual x datä value and the predictëd x value. regression iş alsp,called a least sguares regression model because the

Which of the following stafements best describes why a linear regression is also called a least squares reģression mbdet? o a. A linear regression is alsp called IER ZHE Sauare of each actual y datä value and the'predictëd y value. regression model because the b. A linear regression is aISPcallednISIRA ZHE SUm orthe square of the differences regression line is calculąted by between each actual y a least sguares regression model þecause the válue and thể predictèd ý válue. iş also called a least şguares regressipn model because the O AInear fegressiorCliafed by'inmising tHe sum of the difference bětween êách actual régressioh line y dată valuë and the ý value. d. A linear regression line is calculated by minimising, the square of the difference between each actual x datä value and the predictëd x value. regression iş alsp,called a least sguares regression model because the

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Concept explainers

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.

Question

Which of the following statements best describes why a linear regression is also called a least
squares réğression modēt?
a. A linear regression is alsp.called a least şguares regręssion model because the
regression line is calculated by minimising thể square of each äctual ý datâ value and
the predictéd y value.
b. A linear regression is alsp.called a least şguares regression modęl because the
regression line is calculąted by minimişing the sum of the square of thē differences
between each actual y dătā válüe and the predicted y value.
C. A linear regręssion is also.called a least şguares regression model þecause the
regression line is calculated, by minimisıng the sum'of the difference bētween each actual
y dátā valuë and the predictēd ý valúe.
d. A linear regression is alsp.called a least sguares regression, model because the
regressionline is calculated by minimising the square of the difference bētween each
actuāl x datä value and the predicted x value.

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