Answered: Sum of Squared Error.

Math

Statistics

Sum of Squared Error.

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

Chapter4: Exponential Functions

Section4.4: Modeling Nearly Exponential Data

Problem 3E: Special Rounding Instructions For this exercise set, round all regression parameters to three...

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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

Source	SS	DF	MS
Regression		3	1094.23
Error	?		648.43
Total	11063.85	15

Step 2 of 9: Calculate the Sum of Squared Error. Round your answer to two decimal places, if necessary.

-caculate the degress of freedom among error

-caculate the value of the test stastic

-how much of the varation in the dependent variable is explained by the regression

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