Based on the plot, is it reasonable to conclude that a linear model is appropriate?A. Yes, because the plot shows no apparent pattern.B. Yes, because the points in the plot display less variation as \( x \) increases.C. Yes, because the sum of the residuals is close to zero.D. No, because the plot shows no apparent pattern.E. No, because the points in the plot display more variation as \( x \) increases. The following is a residual plot from a regression of a variable with the independent variable \( x \).### Explanation of the Residual PlotThis plot displays the residuals on the y-axis versus the independent variable \( x \) on the x-axis. The residuals range from -1.0 to 0.6 and are plotted as black dots against values of \( x \) ranging from 0 to 8.- **Horizontal Axis (x):** Represents the independent variable, \( x \), which takes on values from 0 to 8.- **Vertical Axis (Residuals):** Displays the difference between the observed and predicted values from a regression analysis. The values range from -1.0 to 0.6.The plot includes a horizontal reference line at the residual value of 0, helping to visualize deviations above and below zero.**Interpretation:**The residuals are scattered across the plot without forming a clear pattern, which is indicative of a good fit in regression. If a pattern were visible, it might suggest issues like non-linearity or heteroscedasticity that could affect the model's validity.

Name: Based on the plot, is it reasonable to conclude that a linear model i
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: Based on the plot, is it reasonable to conclude that a linear model is appropriate?A. Yes, because the plot shows no apparent pattern.B. Yes, because the points in the plot display less variation as \( x \) increases.C. Yes, because the sum of the r