Incorrect Question 2 0/1 pts n an attempt to better understand employee satisfac

Question

Incorrect Question 2 0/1 pts n an attempt to better understand employee satisfaction, the owner of a small company fit a linear regression model of the annual income of employees as a function of how many months they've worked for the company. The Scatterplot of Residuals (not pictured) shows a random cloud of points that fan out in a horizontal direction with no outliers. Which of the following linear regression conditions do the residuals violate? No Outlier Condition None of the Abova Straight Enough Condition Quantitative Variable Condition Does the Plot Thicken? Condition

Explanation / Answer

A residual plot is a graph which represents the residuals on the vertical axis and the independent variable on the horizontal axis. If the points in the residual plot are randomly dispersed around the horizontal axis, linear regression model should be appropriate for the data else we might have to go for a non-linear model is more appropriate.

So in the above mention scenario as well after doing the regression the residuals plots were made and their nature which was described fit well with the regression analysis. so None the mentioned option violates residuals

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