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

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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.
Transcribed Image Text: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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