he following is a 7-month-demand-history for a certain product. Assuming that linear trend appears, develop the equation of regression line. Round values of coefficients to two decimal places. Use the equation to prepare a forecast for December 2004.
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The following is a 7-month-demand-history for a certain product.
- Assuming that linear trend appears, develop the equation of regression line. Round values of coefficients to two decimal places.
- Use the equation to prepare a forecast for December 2004.
Step by step
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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?. _%(B) Predict the company's annual revenue for the period ending 1/31/10. Screenshot attached belowlakhs) of a certain commodity for the year On the basis of quarterly sales (in 2008-12, the following calculations were made : Trend: Y = 20 + 0.5 t with origin at 1st quarter of 2008. where 1 = time unit = one quarter and y = quarterly sales ( Seasonal variations: Quarter I II III IV Seasonal Index 80 90 120 110 Estimate the quarterly sale for the year 1979 using multiplicative model.
- Suppose that a new car costs $10,000 and that the annualoperating cost and resale value of the car are as shown inTable 13. If I have a new car now, determine a replacementpolicy that minimizes the net cost of owning and operatinga car for the next six years. Age of Car Resale Operating(Years) Value ($) Cost ($)1 7,000 300 (year 1)2 6,000 500 (year 2)3 4,000 800 (year 3)4 3,000 1,200 (year 4)5 2,000 1,600 (year 5)6 1,000 2,200 (year 6)If my bus is 3.5 years old, what are the projected annual maintenance costs? (Enter a whole number) Age of Bus(years)Annual Maintenance Cost($)2.4 3502.3 3702.4 4803.1 5203 5905.8 5504.8 7503.8 8003.6 7904.9 9505.5 9157/10-1/10
- • Calculate the annual inflation rate time series from this data as the year-over-year percentage change in the price index. For example: P1080Q1 – P1979QI P1979Q1 P1980Q2 – P1979Q2 P1979Q2 P1980Q3 – P1979Q3 P1979Q3 T1980Q1 100 x %3D *1980Q2 = 100 × T 1980Q3 = 100 ×The accompanying data represent the annual rates of return of two companies' stock for the past 12 years. Complete parts (a) through (k). O A. OB. 0.50- 0.50- 0.00- 0.00- -0.50- -0.50- -0.3 RR of Company 2 0.0 0.3 -0.3 0.0 0.3 RR of Company 1 OC. 0.30- 0.50- 0.00- 0.00- -0.30- -0.50- o.0 0'5 0.0 0.3 -0.5 RR of Company 2 0.5 -0.3 RR of Company 1 (b) Determine the correlation coefficient between rate of return of Company 1 and Company 2. The correlation coefficient is 0.966. (Round to three decimal places as needed.) (c) Based on the scatter diagram and correlation coefficient, is there a linear relation between rate of return of Company 1 and Company 2? Yes No (d) Find the least-squares regression line treating the rate of return of Company 1 as the explanatory variable. y=x+O (Round to four decimal places as needed.) RR of Company 1 RR of Company 1 RR of Company 2 RR of Company 25 Quarterly data from 1960Q1 to 2009Q4, stored in the file consumptn.dat, were used to estimate the following relationship between growth in consumption of consumer durables in the U.S. (DURGWTH) and growth in personal disposable income (INCGWTH); DURGWTHt = 0.0103 - 0.163 DURGWTHt-1 + 0.7422 INCGWTHt + 0.3479 INCGWTH t-1 Given that DURGWTH 2009Q4 = 0.1, INCGWTH 2009Q4 = 0.9, INCGWTH 2010 Q1= 0.6, and INCGWTH 2010 Q2= 0.8, forecast DURGWTH for 2010Q1 and 2010Q2
- Below are the prices of Amazon stock "y" over a period of 5 days, the number of shares (in 100s) of company's stocks sold (x1), and the volume of exchange (in millions) (x2) is shown below. Day "y" (x1) (x2) 87.5 950 11 2 86 945 11.25 3 84 940 11.75 4 83 930 12.5 84.5 935 12 6 87 970 13 7 85 960 14 Run a regression and use the output to answer the following: 1. Provide an equation that can be used to predict the price of the stock Y = x1 x2 2. The + explains if the equation is a good predictor for price of the stock 3. What is the value for question #2 % (Round to the second (2nd) decimal place) 4. At 95% confidence, determine which variable(s) are significant 5. If in a given day, the trading volume of exchange was 16 million and the volume sold was 945,000, what would you expect the price of the stock to be? $ (Round to the second (2nd) decimal place)Min St. 27, +3%2 1X, 7,125 1x₁ + 1x₂ 71350 2x + 1x₂ = 600 24x2710 Demand for product A Total Production Processing time77. During a period of decline in stock market prices a stock sold at Rs. 50 per share on one day Rs. 40 on the next day and Rs. 25 on the third. (1) If an investor bought 100, 120 and 180 shares on the respective three days, find the average price paid per share. (ti) If the investor bought Rs. 1000 worth of shares on each of the three days, find the average price paid per share. IB.A. (H) Econ. Delhi Univ.. 2007: B.Com...