**Understanding the Alternative Hypothesis in the Durban Watson Test**The image presents a multiple-choice question focused on identifying the correct alternative hypothesis for the Durban Watson Test. Here are the options provided:1. **Ha: The Data is not autocorrelated.**2. **Ha: All of the slopes are equal to zero.**3. **Ha: The Data is autocorrelated.**4. **Ha: At least one of the slopes is equal to zero.**### Explanation:- **Autocorrelation** refers to the correlation of a signal with a delayed copy of itself. In the context of regression analysis, it implies that the residuals (differences between observed and predicted values) are not independent of each other.- The **Durban Watson Test** is a statistical test used to detect the presence of autocorrelation in the residuals from a regression analysis.Understanding and identifying the correct hypothesis is crucial in statistical testing, as it can influence the model's validity in capturing the data's underlying patterns.

The alternative hypothesis is provided. The objective is to select the correct alternative…

Answered: What is the alternative hypothesis for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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What is the alternative hypothesis for the Durban Watson Test? Ha: The Data is not autocorrelated. O Ha: All of the slopes are equal to zero. O Ha: The Data is autocorrelated. O Ha: At least one of the slopes is equal to zero.