When using a simple linear regression model for predictive purposes which of the following statements is TRUE? Select one: O a. All three options listed O b. The model should not be used to extrapolate beyond the sampled range of the independent variable. O c. A small R2 value indicates that the model will provide good predictions. O d. The overall model should not be significant.

Simple Linear Regression It gives the relationship between a Dependent Variable and an Independent…

Answered: When using a simple linear regression model for predictive purposes which of the following statements is TRUE? Select one: O a. All three options listed O b.…

MATLAB: An Introduction with Applications

6th Edition

ISBN: 9781119256830

Author: Amos Gilat

Publisher: John Wiley & Sons Inc

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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 p…

Question

When using a simple linear regression model for predictive purposes which of the following
statements is TRUE?
Select one:
O a. All three options listed
O b. The model should not be used to extrapolate beyond the sampled range of the
independent variable.
O c. A small R2 value indicates that the model will provide good predictions.
O d. The overall model should not be significant.

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