Problem #2 – The table below shows the total number of air conditioning units sold in whole country by Freeze Inc. from January to December of 2019: Month Actual Sales 3-Month Moving Average Forecast - Sales (# of Product X) (# of Product X) Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 1,860 2,040 3,560 4,200 6,250 7,980 10,200 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 9,800 9,900 9,950 7,890 5,350 5,020 a) - Calculate the 3-month Moving Average Forecast for sales from April/2019 to January/2020 and enter them in the table above. b) - Calculate MAD, MSE and MAPE for the forecast obtained from April/2019 to January/2020.
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- c) If the price of the product is increased from 3.50 to 4.20 (a 20% increase): (1) Will the revenue from selling the products go up or down? UP/ DOWN (Circle one) (ii) Will the demand for the products go up or down? UP / DOWN (Circle one) By about what percentage?. _%Suppose that in a family savings equation, for the years 1990, 1991, and 1992, we let kidsit denote the number of children in family i for year t. If the number of kids is constant over this three-year period for most familiesin the sample, what problems might this cause for estimating the effect that the number of kids has on savings?Suppose the table below lists the price and consumption levels of food and clothing during 2015 and 2020, where 2015 reflects the base year relative to current prices in 2020. Year Prices Consumption Food Clothing Food Clothing 2015 2675 9480 500 300 2020 2250 11560 650 260 1.1 State the formulas for a Laspeyres Index and Paasche Index given the data provided. (Hint: Refer to the definitions} (2) 1.2 Based on your answer in Q1.1, calculate (a) the Laspeyres Index and (b) the Paasche Index. (3)
- Suppose a group of consumers spend 30% of their disposable income on food, 20% on clothing, and 50% on rent. If over the course of a year the price of food rises 10%, the price of clothing drops 5% and rent rises 15%, what is the average price increase experienced by these consumers?MAPEH-10-Q3-Week-4.pdfX Filipino-10-Q3-Week-4.pdf X TLE CSS 10 Quarter3 Week X ESP-10-03-Weeks-3-4.pdf Math 10 Q3 Week 5.p sers/L%20E%2ON%200%20V%200%20-%20P%20C/Downloads/Math%2010%20Q3%20Week%205.pdf Facebook - + E| D Page view A Read aloud | Draw E Highlight b. 362 880 b. 181 440 C. 60 480 d. 30 240 3. Abby is selecting 3 desserts from 10 possible choices displayed on the dessert cart at a restaurant. How many selections are there? b. 120 b. 240 C. 360 d. 720 4. A mother, a father, and their 4 children will dine in a restaurant with circular tables. In how many ways can the family be seated in a table? b. 24 b. 56 C. 120 d. 720 5. From a Grade 10 class of 28 students, five representatives are to be chosen for academic competition. In how many ways can students be chosen to represent their class? b. 12 285 b. 19 565 C. 49 140 d. 98 280 6. Mr. Reyes has a vault with four-digit combination lock. He can set the combination himself. He can use the digits 0 - 9. Each digit can be used…An enquiry into the budgets of the middle class families of a certain city revealed that on an average the percentage expenses in the different groups were : Food 45, Rent 15, Clothing 12, Fuel and Light 8, Miscellaneous 20. The group indices for the current year as compared with a fixed base period were respectively 410, 150, 343, 248 and 285. Calculate the cost of Living Index Number for the current year. Mr. X was getting Dollar 240 in the base period and 430 in the current year. State how much he ought to have received as extra allowance to maintain his former standard of living ?
- L{costv3} ....The following table gives the millions of metric tons of carbon dioxide emissions in a certain country for selected years from 2010 and projected to 2032. 2010 2012 2014 2016 2018 2020 339.5 361.5 399.1 425.8 452.1 495.4 Year CO2 Emissions Year 2022 2024 2026 2028 2030 2032 CO2 Emissions 556.2 595.9 629.7 665.1 703.1 743.7 (a) Create a linear function that models these data, with x as the number of years past 2010 and y as the millions of metric tons of carbon dioxide emissions. (Round all numerical values to two decimal places.) y(x) = (b) Find the model's estimate for the 2022 data point. (Round your answer to two decimal places.) million metric tons (c) Find the slope of the linear model. (Round your answer to two decimal places.) Interpret the slope of the linear model. For each year since ---Select--- , carbon dioxide emissions in the U.S. are expected to change by million metric tons.The following table gives the millions of metric tons of carbon dioxide emissions in a certain country for selected years from 2010 and projected to 2032. Year 2010 2012 2014 2016 2018 2020 CO2 Emissions 339.5 361.5 399.1 425.8 452.1 495.4 Year 2022 2024 2026 2028 2030 2032 CO2 Emissions 556.2 595.9 629.7 665.1 703.1 743.7 (a) Create a linear function that models these data, with x as the number of years past 2010 and y as the millions of metric tons of carbon dioxide emissions. (Round all numerical values to two decimal places.) y(x) = X (b) Find the model's estimate for the 2022 data point. (Round your answer to two decimal places.) x million metric tons (c) Find the slope of the linear model. (Round your answer to two decimal places.) x Interpret the slope of the linear model. For each year since 2010 ✔ , carbon dioxide emissions in the U.S. are expected to change by x million metric tons.
- If my bus is 3.5 years old, what are the projected annual maintenance costs? (Enter a whole number) Age of Bus(years)Annual Maintenance Cost($)2.4 3502.3 3702.4 4803.1 5203 5905.8 5504.8 7503.8 8003.6 7904.9 9505.5 915The following table shows retail sales in drug stores in billions of dollars in the u.s. for years since 1995The prices (in $) of Rawlston, Inc. stock ( y) over a period of 12 days, the number of shares (in 100s) of company's stocks sold ( x 1), and the volume of exchange (in millions) on the New York Stock Exchange ( x 2) are shown below. Day (y) (x1) (x2) 1 87.50 950 11.00 2 86.00 945 11.25 3 84.00 940 11.75 4 83.00 930 11.75 5 84.50 935 12.00 6 84.00 935 13.00 7 82.00 932 13.25 8 80.00 938 14.50 9 78.50 925 15.00 10 79.00 900 16.50 11 77.00 875 17.00 12 77.50 870 17.50 Excel was used to determine the least squares regression equation. Part of the computer output is shown below. ANOVA df SS MS F Significance F Regression 2 118.8474 59.4237 40.9216 0.0000 Residual 9 13.0692 1.4521 Total 11 131.9167 Coefficients Standard Error t Stat P-value Intercept…