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BU6015 - Business Analytics

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What would be the dependent variable in a regression determining “How are firm costs dependent on the level of production?” at a decking company?

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The Excel Data Analysis ToolPak automatically calculates a Skewness score. Interpret a Skewness equal to 4.2.

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Descriptive analytics is part of which component of the SOAR model?

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Based on the histogram in Lab 1.3 Tableau, Assessing Product (SKU) Profitability, how many products are in the lowest bin?

In the histogram, the horizontal axis represents gross margin percentage (bin) ranging from 0.32 to 0.42 in increments of 0.02. The vertical axis represents count of gross margin percentage ranging from 0 to 26 in increments of 2. The data of the histogram are as follows: 0.32 to 0.35, 13. 0.35 to 0.38, 21. 0.38 to 0.40, 24. 0.40 to 0.42, 23. In the tabular data, S K U, description, and values are shown in three columns, as follows: F R T hyphen J A U, Jambul, and 0.42051. F R T hyphen P U E, purple mangosteen, and 0.41584. F R T hyphen J A B, Jabuticaba, and 0.41573. F R T hyphen P E A, pear, and 0.41530. F R T hyphen B I T, bilberty, and 0.41500. F R T hyphen M I I, miracle fruit, and 0.41463. F R T hyphen J A I, jackfruit, and 0.41270. F R T hyphen P L M, plumprune (dried plum), and 0.41221. F R T hyphen C H I, chico fruit, and 0.41143. F R T hyphen S A R, salal berry, and 0.41071. F R T hyphen A V D, avocado, and 0.41000. F R T hyphen B L N, blackcurrent, and 0.41000. F R T hyphen P L T, plumcot (or pluet), and 0.40952. F R T hyphen K I I, kiwifruit, and 0.40948. F R T hyphen G R I, graperaisin, and 0.40800. F R T hyphen L I M, lime, and 0.40625. F R T hyphen C U N, currant, and 0.40571. F R T hyphen P A Y, papaya, and 0.40566. F R T hyphen L O A, Longan, and 0.40541. F R T hyphen G U V, guava, and 0.40426. F R T hyphen P I L, pineapple, and 0.40260. F R T hyphen R E N, redcurrant, and 0.40141. F R T hyphen C U E, cucumber, and 0.40110.

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What is the mean Sales Price in the chart shown below?

The box plot shows the sales price in dollars on the vertical axis ranging from $0 to $3,000 in increments of $500. The lower whisker shows a value of $19.00. The lower quartile shows a value of $59.00. The median shows a value of $149.00. The mean value shows X$624.40. The upper quartile shows a value of $949.00. The upper whisker shows a value of $1,799.00. The first outlier above shows a value of $2,299.00. The second outlier above shows a value of $2,599.00.

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Descriptive analytic measures of central tendency include all except which of the following?

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Based on these net present value calculations in Lab 5.7 Excel: Assessing the Returns to Education: To MBA or Not to MBA, at which age does the higher payoff begin for getting an MBA (as compared to not getting an MBA)?

The data in the table for getting an M B A. N P V: $756, 604.06. The data from age 25 to 60 across 2 column is as follows: 25, -$20,000.00, -$18,348.62 26, -$20.000.00,-$16,833.60 27, -$20,000.00, -$15,443.67 28, $75,000.00, $53,131.89 29, $77,250.00, $50.207.20 30, $79,567.50, $47,443.50 31, $81,954.53, $44,831.93 32, $84.413.16, $42364.12 33, $86,945.56, $40,032.15 34, $89,351.92, $37,828.54 35, $92,240.54, $35,746.44 36, $95,007.76, $33,778.36 37, $97,857.99, $31,919.19 38, $100,793.73, $30,162.17 39, $103,817.44, $28,501.46 40, $106,932.07, $26,932.95 41, $110,140.03, $25450.41 42, $113,444.23, $24,049.47 43, $116,847.56, $22,725.64 44, $120,352.98, $21,474.69 45, $123.963.57, $20,292.60 46, $127.682.48, $19,175.37 47, $131.512.95, $18,120.04 48, $135,458.34, $17.122.60 49, $139,522.09, 516,180.08 50, $143.707.76, $1428943 51, $148,018.99, $14,447.81 52, $152.459.56, $13,652.52 53, $157,033.34, $12,901.00 54, $161,744.35, $12,190.86 55, $166,596.68, $11,519.80 56, $171,594.58, $10,885.68 57, $176,742.41, $10,286.47 58, $182,044.69, $9,720.24 59, $187,506.03, $9,185.18 60, $193.131.21, $8,679.58 The data in the table for not getting an M B A. N P V: $583,923.03. The data from age 25 to 60 column is as follows: 25, $45,000.00 26, $45,900.00 27, $46,818.00 28, $47,754.36 29, $48,709.45 30, $49,683.64 31, $50,677.31 32, $51,690.86 33, $52,724.67 34, $53,779.17 35, $54,854.75 36, $55,951.84 37, $57,070.88 38, $58,212.30 39, $59,376.54 40, $60,564.08 41, $61,775.36 42, $63,010.86 43, $64,271.08 44, $65,556.50 45, $66,867.63 46, $68,204.99 47, $69,569.09 48, $70,960.47 49, $72,379.68 50, $73,827.27 51, $75,303.82 52, $76,809.89 53, $78,346.09 54, $79,913.01 55, $81,511.27 56, $83,141.50 57, $84,804.33 58, $86,500.41 59, $88,230.42 60, $89,995.03

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It is possible to input raw data within Tableau.

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Forecasting earnings is an example of which type of predictive analytics?

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________ is used to help find customers that might have a similar address or name as employees.

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