.A 45 kW rated solar power system has itspower output and the Solar irradiance on thePV system measured during daylight hoursover a day. Based on the following data,create a scatter plot of the power output ofthe PV system vs the solar irradiance andcomment on the relationship between thetwo. Based on the data, can you tell whichseason this day was in?Solar Irradiance on thePV system (kW/m²)00.0790.3330.5710.7510.860.9140.930.9040.8030.6060.3450.054Power output from thePV system (kW)03.09812.43820.12425.70328.49829.58729.6928.79826.26420.43412.2232

Find the Given details below: Given details: Solar Irradiance on the PV system (KW/m2) Power…

Answered: .A 45 kW rated solar power system has…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Develop a 3-week moving average for the following time series Time Time Series Period Value |1 13 2 12 3 17 |4 15 6 15 15 Find the value for MSE. If needed round your intermediate calculations to no more than 2 decimal places. Round your final answer to 2 decimal places
From the following time series data of sale project the sales for the next three years. Year 2001 2002 2003 2004 2005 2006 2007 Sales (*000 units) 80 90 92 83 94 99 92
Restaurant Student Population Quarterly Sales 1 2 58 2 6 105 3 8 88 4 8 118 5 12 117 6 16 137 For the data above, what would be the predicted quarterly sales for a restaurant with a student population of 15 (using linear regression)?
Which of the following is a forecasting error measure? A. CAT B. SAD C. MAD D. BAD
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 360 389 410 381 366 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 375 pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.15, 0.25, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = 150.10 pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.)
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Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 t
Tom Simpson, Director of the Chamber of Commerce for Exeter township is investigating the past ten years of tourist visits to the area. The following data has been gathered on number of tourists who signed into the local information center. Year Number of tourists 1 700 2 248 3 633 4 458 5 1410 6 1588 7 1629 8 1301 9 1455 10 1989 What is the forecasts for Year 11 using the simple moving method? (show in calculations in excel file)
Refer again to the gasoline sales time series data in the following table. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate calculations. Use minus sign for negative values. Compute the MSE for the weighted moving average in part a. Do you prefer this weighted moving average to the unweighted moving average? Remember that the MSE for the unweighted moving average is 10.22. Round your answer to two decimal places. Suppose you are allowed to choose any weights as long as they sum to 1. Could you always find a set of weights that would make the MSE smaller for a weighted moving average than for an unweighted moving average? Why or why not?
Below is the number of complaints received in a department store for the first six months of operation: Month Complaints January February March April May June 37 48 84 96 114 148 If a three-month moving average is used to smooth this series, what would have been the forecast for July, rounded to the nearest whole number?
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 381 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.20, 0.35, and 0.45, using 0.45 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.)
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Quarter Quarter Guests (in thousands) Guests (in thousands) Winter Year 1 68 Summer Year 2 120 Spring Year 1 99 Fall Year 2 51 Summer Year 1 155 Winter Year 3 99 Fall Year 1 75 Winter Year 2 65 Spring Year 3 Summer Year 3 151 207 Spring Year 2 84 Fall Year 3 98 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index Winter

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