Problem 3: Find the least-squares line of best fit for the following data points. Assume that the second data point is twice as reliable as the others. (Don't miss the decimal in the second data point) (-2,-2), (-.5, 2), (1, 1) , (3,0)

Problem 3: Find the least-squares line of best fit for the following data points. Assume that the second data point is twice as reliable as the others. (Don't miss the decimal in the second data point) (-2,-2), (-.5, 2), (1, 1) , (3,0)

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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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.

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Problem 3: Find the least-squares line of best fit for the following data points. Assume that the second data point
is twice as reliable as the others. (Don't miss the decimal in the second data point)
(-2, -2), (-.5, 2), (1, 1) , (3,0)

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