**Scatter Chart Analysis: Residuals vs. Dependent Variable**The scatter chart below displays the residuals versus the dependent variable, \( x \). Analyze the following scatter chart to determine which conclusion can be drawn:![Residual Plot]**Graph Explanation:**The scatter plot visualizes the residuals (\( e \)) on the y-axis against the independent variable (\( x \)) on the x-axis. The residuals are plotted as blue dots around a horizontal axis marked as 0. The pattern shows an increasing spread of residuals as the variable \( x \) increases, indicating a potential change in variance.**Possible Conclusions:**1. ○ The regression model follows the standard normal probability distribution.2. ○ The residuals have an increasing variance as the dependent variable increases.3. ○ The model captures the relationship between the variables accurately.4. ○ The residual distribution is consistently scattered about zero.Evaluate each statement and use the scatter chart to determine the most accurate conclusion.

This is funnel plotFunnel plots can be used as a check for bias in meta analysis results.

Answered: The scatter chart below displays the…

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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The scatter chart below displays the residuals verses the dependent variable, x. Which of the following conclusions can be drawn from the scatter chart given below?