The scatter chart below displays the residuals verses the dependent variable, x. Which of the following conclusions can be drawn
based upon this scatter chart? a. The residuals are normally distributed. b. The model over predicts the value of the dependent variable for small values and large values of the independent variable. c. The model fails to capture the relationship between the variables accurately, and there may exist nonlinear relationship. d. The residuals have a constant variance.
Answer: Hello the scatter plot related to your question is missing attached below is the scatter plot
answer : The model fails to capture the relationship between the variables accurately, and there may exist nonlinear relationship ( C )
Step-by-step explanation:
The conclusion that can be drawn based upon the scatter chart is that The model fails to capture the relationship between the variables accurately, and there may exist nonlinear relationship
<em>A scatter plot helps in observing the relationship within different numeric variables but the scatter plot attached fails in the showing the actual relationship </em>
When you say "slope", Im guessing your referring to the gradient (the steepness of the line).
If two lines have the same gradient their equations won't usually describe the same line because their 'y intercepts' will be different (the point in which the line crosses the y axis)
</span></span><span>consistent and coincident </span> Hope This Helps! (If it Helps I took the test, its 100% Right) (Brainliest is always appreciated) If You Have Any More Questions Feel Free To Ask! :)
