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
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
Related questions
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
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.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:
9781305071742
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:
9781305071742
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill