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BU6015 - Business Analytics

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What is the interquartile range (IQR) for Sales Price in the chart shown below?

The figure shows a box plot. The vertical axis shows the sales price ranging from $0 to $3,000 in increments of $500. The lower whisker has a value of $19.00. The first quartile has a value of $59.00. The median or the second quartile has a value of $149.00. Inside the box above the second quartile the following is entered: X$624.40. The third quartile has a value of $949.00. The upper whisker has a value of $1,799.00. The outlier above the upper whisker has a value of $2,299.00. The outlier and maximum value is $2,599.00.

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Which of the following would not be a calculated variable from other data?
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Which of the following graphs would have a correlation coefficient equal to 0.05?

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Which type of data would letter grades (A, B, C, D, or F) be considered to be?

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What does ETL stand for?
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Based on these regression results from Lab 5.2 Excel, Evaluating the Relationship Between Sales and R&D Expenditures: Testing for a Nonlinear Relationship, how can the relationship between sales and R&D be best explained?

Under regression statistics, the following values are shown: Multiple R, 0.909478. R square, 0.827151. Adjusted R square, 0.823859. Standard error, 6030121. Observations, 108. In the ANOVA table at the center, values are shown as follows: Regression: d f, 2. S S, 1.82709E + 16. M S, 9.14E + 15. F, 251.2333. Significance F, 9.49532E minus 41. Residual: d f, 105. S S, 3.81805E + 15. M S, 3.64E + 13. Total: d f, 107. S S, 2.20889E + 16 In the table at the bottom, the entries are shown as follows: Intercept: Coefficients, 21367225. Standard error, 2269617.303. t Stat, 9.414462. P value, 1.26E minus 15. Lower 95 percent, 16866993.19. R and D expenditures: Coefficients, 5.501598. Standard error, 1.980307943. t Stat, 2.778153. P value, 0.006477. Lower 95 percent, 1.575013356. R and D expenditures squared: Coefficients, 1.31E minus 06. Standard error. 3.89595E-07. t Stat, 3.351151. P value, 0.001119. Lower 95 percent, 5.33096E minus 07

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There are three primary methods to summarize ordinal data; two are counting and grouping and proportion. What is the third method?

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The net income of a company is an example of which type of data?
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Based on this chart in Lab 1.2 Power BI, Assessing Customer Profitability, which of the following customers are the most profitable?

The entries are shown as follows: 2047, 357.70. 2088, 212.23. 2072, 139.01. 2081, 137.78. 2100, 135.47. 2060, 118.74. 2064, 115.33. 2087, 114.85. 2046, 114.29. 2086, 107.41. 2024, 104.78. 2063, 96.45. 2031, 81.81. 2018, 76.79. 2051, 69.83. 2032, 66.62. 2025, 64.64. 2079, 64.00. 2099, 58.56. 2044, 56.39. 2041, 47.22. 2067, 44.94. 2048, 41.12. 2074, 38.18. 2068, 36.62. 2001, 34.89. 2066, 34.12. 2091, 30.11. 2006, 29.77.

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What is the preferred sorting order for a data visualization?
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