Seleccione una:O A.А.autocorrelationO B.homoscedasticityc.normalityO D.linearity of the relationship TABLE 12-10The management of a chain electronic store would like to develop a model for predicting the weekly sales (inthousand of dollars) for individual stores based on the number of customers who made purchases. A randomsample of 12 stores yields the following results:Sales (Thousands ofCustomersDollars)90711.2092611.057138.217419.217809.4289810.085106.735297.024606.128729.526507.536037.25Referring to Table 12-10, the residual plot indicates possible violation of which assumptions?

The residual plot is plot between residuals and independent variable.

Answered: O, the residual plot indicates possible…

Math

Statistics

O, the residual plot indicates possible violation of which assumptions?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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

Seleccione una:
O A.
А.
autocorrelation
O B.
homoscedasticity
c.
normality
O D.
linearity of the relationship

TABLE 12-10
The management of a chain electronic store would like to develop a model for predicting the weekly sales (in
thousand of dollars) for individual stores based on the number of customers who made purchases. A random
sample of 12 stores yields the following results:
Sales (Thousands of
Customers
Dollars)
907
11.20
926
11.05
713
8.21
741
9.21
780
9.42
898
10.08
510
6.73
529
7.02
460
6.12
872
9.52
650
7.53
603
7.25
Referring to Table 12-10, the residual plot indicates possible violation of which assumptions?

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