Judge and Cable (2010) report the results of a study demonstrating a negative relationship between weight and income for a group of women professionals. Following are data similar to those obtained in the study. To simplify the weight variable, the women are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000. Draw (or generate in Excel) a scatterplot of the data with labeled axes. The plot should be large and precise. Conduct a hypothesis test (significance level 0.05) to see if there is a significant relationship between weight and income? Use a two-tailed test with alpha = 0.05. Each step of the test is worth 1 point. After giving your conclusion in Step 5, also write it up as it would appear in a publication, giving the results in terms of the original research question, and being sure your conclusion respects the limitations of the methodology used.