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BU6015 - Business Analytics

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What is the term for data about the data?

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Based on these regression results from Lab 5.6 Excel: Forecasting Product Demand Using Regression, which independent variables are significantly related to forecast demand?

Under regression statistics, the following values are shown: Multiple R, 0.891401552. R square, 0.794596727. Adjusted R square, 0.780591959. Standard error, 4.286745807. Observations, 48. In the ANOVA table at the center, values are shown as follows: Regression: d f, 3. S S, 3127.861777. M S, 1042.621. F, 56.73758. Significance F, 3.6376E minus 15. Residual: d f, 44. S S, 808.5523431. M S, 18.37619. Total: d f, 47. S S, 3936.41412. In the table at the bottom, the entries are shown as follows: Intercept: Coefficients, negative 123.7576339. Standard error, 22.11431598. t Stat, negative 5.59627. P value, 1.32E minus 06. Lower 95 percent, negative 168.3261093. G D P: Coefficients, 2.162221318. Standard error, 0.212246208. t Stat, 10.18733. P value, 3.76E minus 13. Lower 95 percent, 1.734467193. Weather (average Fahrenheit): Coefficients, 0.202019743. Standard error. 0.043196935. t Stat, 4.676715. P value, 2.78E minus 05. Lower 95 percent, 0.114962041. Holiday: Coefficients, 7.513785459. Standard error. 1.745077976. t Stat, 4.305702. P value, 9.17E minus 05. Lower 95 percent, 3.99681189.

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A business analyst, who has four teenagers ranging from 13 to 19 years old, is studying the marketing preferences of teenagers. To collect data, the business analyst throws a huge outdoor summer bash for all of her kids’ friends. As part of the bash, the teenagers play a game that allows the business analyst to collect the necessary data. What type of sampling method was used to collect data?

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A new business, CoolIT, sells items to keep you cool when outside. Its products include coolers, generators, floats, and other water accessories designed to beat the heat. CoolIT has been spending money on innovative advertising in hopes of increasing its sales revenue. A CoolIT business analyst ran a regression using 36 months of data using the Excel Data Analysis Toolpak. The output is shown below. Using the regression output, what is projected sales revenue if CoolIT spends $10,000 on advertising?

The excel sheet titled summary output contains 3 tables. The table at top contains 2 columns and rows with the following sub-title: regression statistics. The row entries are as follows: row 2 - multiple R; 0.95011488. Row 3 - R square; 0.90271829. Row 4 - adjusted R square; 0.89985706. Row 5 - standard error; 6748.44918. Row 6 - observations; 36. The table below titled Anova contains 6 columns and 4 rows. The headings of columns 2 to 6 are as follows: d f; S S; M S; F; significance F. The row entries are as follows: row 2 - regression; 1; 14368384267; 1.44E+10; 315.5004; 8,92218E-19. Row 3 - residual; 34; 1548413256; 45541566; blank; blank. Row 4 - total; 35; 15916797524; blank; blank; blank. The table below contains 7 columns and 3 rows. The headings of columns 2 to 7 are as follows: coefficients; standard error; t stat; P-value; lower 95%; upper 95%. The row entries are as follows: row 2 - intercept; -836512.83; 54148.06535; -15.4486; 6.16E-17; -946554.9386; -726470.7216. Row 3 - advertising expense; 163.271654; 9.192016768; 17.76233; 8.92R-19; 144.5912287; 181.9520799.

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Which type of question does diagnostic analytics address?

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According to Eric Schmidt, CEO of Google says, How many days does it take to create as much information as we did from the dawn of civilization up until 2003?

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Based on these time series analysis results from Lab 5.5 Power BI, Forecasting Product Demand, estimate the amount of product demand in the final month forecasted.

The y axis plots monthly product demand and ranges from 200 to 350 and x axis plots years an ranges from 2021 to 2027. The graph shows an ocillating upward trend. It rises for the first 2 quarters falls in the third quarter and rises again in the fourth quarter. Tline begins at (2021, 210) and passes through (2024, 250), (2027, 310) and ends at about (2027, 300).

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Which common visualization type would be used to compare values?

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In a table of a relational database, which of the following terms describes the rows?

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What is the X-axis (Days) in the chart shown below?

The bar chart shows the process time with the number of orders on the vertical axis. The bar marked [2, 7] shows a number of orders of 7,700. The bar marked [7, 12] shows a number of orders of 8,300. The bar marked [12, 17] shows a number of orders of 2,300. The bar marked [17, 22] shows a number of orders of 300. The bar marked [22, 27] shows a number of orders of 900. The bar marked [27, 32] shows a number of orders of 400. All values are estimated.

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