Hourly Wage ($)
Sketch a scatterplot showing the association between the wage and the years of experience. Describe the association.
Sketch the residual plot. Is a linear model appropriate?
What is the correlation coefficient? What does it tell you?
Create a scatterplot with the x-axis labeled "Experience (years)" and the y-axis labeled "Hourly Wage ($)."
See answer at right. Remember to describe the association.
Refer to the Math Notes box in this lesson to review residual plots.
Label the x-axis “Experience (years)” and the y-axis “Hourly Wage ($)” as you did with the scatterplot.
See answer at right. Is the linear model appropriate?
Why or why not?
Remember that the correlation coefficient, r, is a measure of how much or how little the data is scattered around the LSRL.
Use the eTool below to help you with this problem.
Click the link at right for the full version of the eTool: CCA 6-85 HW eTool.