To accurately choose the best description, we would need to examine the scatter plot that visualizes the relationship between annual salary and the number of years worked at the company. However, since the plot is not accessible to me, I can guide you on how to approach the evaluation:
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Positive Association: If you observe that as the number of years of experience increases, the salaries also tend to increase, then the correct description would be that there appears to be a positive association between the number of years of experience and salary.
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Negative Association: Conversely, if you see that salaries generally decrease as years of experience increase, then a negative association would be the appropriate choice.
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No Association: If the data points seem randomly scattered with no discernible pattern, the choice would be that there appears to be no association between the number of years of experience and salary.
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Quadratic Model: If the scatter plot shows a curved pattern (e.g., a parabola), then you might consider that a quadratic model would be the best fit for the data.
Evaluate the scatter plot based on these points to select the most accurate description of the relationship between years of experience and salary.
4 answers