What connects both internal and external data in operations and supply chain analytics? Ai Danalytics Teradata Deep Learning.
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What connects both internal and external data in operations and supply chain analytics?
- Ai
- Danalytics
- Teradata
- Deep Learning.
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- Management Decision Systems (MDS) is a consulting company that specializes in the development of decision support systems. MDS has a four-person team working on a current project with a small company to set up a system that scrapes data from a collection of websites and then automatically generates a report for management on a daily basis. Time (Weeks) Immediate Optimistic Most Probable Pessimistic Activity Description Report generation Predecessor 2 B Web scraping C Testing A, B 13 5 10 12 1 (a) Construct the project network. (Submit a file with a maximum size of 1 MB.) Choose File No fie chosen Score: 0 out of 5 Comment: Question not attempted Graded: 0 points by Neesan Deepa on Saturday, July 20, 2124 12:15 AM CDT (b) Based solely on the critical path, estimate the probability that the project will be complete within 12 weeks. (Round your answer to four decimal places.) (c) Using all paths through the project network, estimate the probability that the project will be complete within…Part D and EI have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent…
- A 1 Program Per-Year Tuition ($) 62486 68484 67888 HN34567000 2 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 67050 67792 66183 66648 69860 64013 63704 66855 62839 60049 57895 55895 53947 54645 53374 52975 49195 44629 47459 48355 47415 38386 48726 48050 51251 37376 32404 44246 40984 49238 33366 23635 41729 38862 B Mean Starting Salary Upon Graduation ($) 155737 154423 149313 143503 140925 153696 147799 149794 134756 147521 142518 143619 141792 138082 125249 114639 127846 127392 130064 123958 115916 111221 110846 106083 79315 79529 103321 74754 86946 72656 76078 53979 63709 102611 53719 81335 51657 U D E F Gneed solutionFiske Corporation manufactures a popular regional brand of kitchen utensils. The design and variety has been fairly constant over the last three years. The managers at Fiske are planning for some changes in the product line next year, but first they want to understand better the relation between activity and factory costs as experienced with the current products. Discussions with the plant supervisor suggest that overhead seems to vary with labor-hours, machine-hours, or both. The following data were collected from last three year's operations: Quarter Machine-Hours 18,850 4 5 6 7 8 9 10 11 12 18,590 17,480 19,240 21,280 19,630 19,240 18,850 18,460 20,670 17,550 18,460 Labor-Hours 15,605 15,484 16,727 15,990 17,508 17,376 15,297 14,373 16,001 17,002 14,285 17,651 Factory costs $ 3,395,671 3,425,836 3,617,844 3,573,940 3,812,984 3,778,012 3,532,426 3,369,802 3,513, 187 3,731,434 3,325,615 3,724,486 Required: Prepare a scatter graph based on the factory cost and labor-hour data. Note: 1.…
- Forecasting movie revenues with Twitter. A study presented at the 2010 IEEE International Conference Intelligence and Intelligent Agent Technology investigated whether the volume of chatter on Twitter.com could be used to forecast the box office revenues of movies. For each in a sample of 24 recent movies, opening weekend box office revenue (in millions of dollars) was measured as well as the movie’s tweet rate (the average number of tweets referring to the movie one week prior to the movie’s release).a. In this study, identify the dependent and independent variables.b. Write the equation of the straight-line.1 (part 1). Does When Food Is Eaten Affect Weight Gain?A study was introduced that examined the effect of light at night on weight gain in mice. In the full study of 27 mice over a four-week period, the mice who had a light on at night gained significantly more weight than the mice with darkness at night, despite eating the same number of calories and exercising the same amount. Researchers noticed that the mice with light at night ate a greater percentage of their calories during the day (when mice are supposed to be sleeping). The computer output shown below allows us to examine the relationship between percent of calories eaten during the day, DayPct, and body mass gain in grams, BMGain. A scatterplot with regression line is also shown below (attached image).Pearson correlation of BMGain and DayPct =0.740P-Value =0.000--------------------------------------------------------------The regression equation isBMGain=1.11+0.127DayPct Predictor Coef SE Coef T P Constant 1.113 1.382…
