In an attempt to better understand employee satisfaction, the owner of a small c

Question

In 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 running in a horizontal direction with a clear bend and no outliers. Which of the following linear regression conditions do the residuals violate? OQuantitative Variable Condition Straight Enough Condition No Outlier Condition Does the Plot Thicken? Condition None of the Above O

Explanation / Answer

1 ) From the No outlire in data then residuals violeted.

Because after removing the outlire the prediction will change and regression line becomes smooth then value of ressidual decreases.

2 ) From the above plot we conclude that the data contains high leverage and influence variable.

Because if points plot the away from regression line but upper or lower bottom of graph then we said outlire in data

we can see the one point in right away from other variable but it is in middle this is not outlire this is influence variable.

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