Consider the following time series data. Week 1 3 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error МАЕ - (ь) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) МАРЕ 3D % (d) What is the forecast for week 7?
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- What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
- Real wage is a wage deflated by the current consumer price index. It gives information on how much current wage compares to the wage of given base year period. Real wage is obtained by dividing the nominal wage by the current Consumer Price Index (CPI) of a given month multiplied by 100. Table 1 below presents the real wage and nominal wage of non-agriculture workers in the Philippines as of December 2019 by region. Referring to the data, how many regions are below the 4th decile of the real wage?A. 4B. 5C. 6D. 7Referring to the data, how many regions are above the 80th percentile of the nominal wage?A. 4B. 5C. 6D. 7The cumulative frequency below displays the amount of time (in minutes) taken to travel to work by employees at a shoe factory. 100 80 60- Cumulative frequency 40 20 10 30 40 Time (minutes) 20 50 60 70 80 90Calculate to two decimal places. weighted mean =
- Stép 1 (a) Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 8? The MSE, mean squared error, is a measure of forecast accuracy and is the average of the squared forecast errors. Before this can be found, we first need to find the forecast values, forecast error, and squared forecast errors. Forecasts will be made using the most recent values known. There will be no forecast for the first month. The forecast value for month 2 will be the observed value from month 1, so the forecast value for month 2 is The forecast value for month 3 will be the observed value from month 2, so the forecast value for month 3 is This pattern will continue for the rest of the months. Complete the column for the forecast value in the table below. Month Value Forecast Value 1 21 2 29 25 4 30 5 26 25 7 30 Find the forecast for month 8 using this pattern. Submit Skip (you cannot come back)Calculate the forecasted values of tempurature based on weeks using Exponential Smoothing. The predicted values are calculated for you in Column C. Required: Complete the rest of the table: Week Tempurature Predicted |e| e^2 1 10 - - - 2 14 10 3 8 11.6 4 25 10.16 5 16 16.096 6 22 16.0576 7 14 18.43456 8 35 16.66074 9 15 23.99644 10 27 20.39786 11 18 23.03872 12 40 21.02323 13 28 28.61394 14 40 28.36836 15 25 33.02102 16 65 29.81261 Calculate the MAE: Calculate the MSE: In which week was forecasted tempurature the closest to the actual tempurature?The data in the table represent the stock price for a company at the end of each (a) Which of the following is a time-series plot of the data? month in 2015. A. В. (a) Construct a time-series plot and comment on any trends. (b) What was the percent change in the stock price of the company from January 2015 to December 2015? 40- 40- Date Closing Price 35- 1/15 28.77 30- 30- 2/15 28.92 25 Jan Jun 25- Jan Jun 3/15 31.37 Dec Dec 4/15 35.65 Month Month 5/15 31.00 6/15 31.42 C. D. 7/15 30.52 8/15 31.56 40- 40- 9/15 32.79 35- 10/15 36.16 11/15 36.77 30- 30- 12/15 37.56 251 Jan Jun 251 Jan Jun Dec Dec Month Month Closing Price Closing Price Closing Price Closing Price
- Suppose that “X” represents the name of a disease. An epidemiologist conducts a survey of disease “X” in a population. The prevalence of disease “X” among women is 40/1,000 and among men is 20/1,000. Assuming that the data have been age-adjusted, is it correct to conclude that women have twice the risk of disease “X” as men? Explain.Assuming the lowest decile of men receive an average of $800/month in Social Security, while the highest decile receive $2200/month in Social Security how much does each receive (on average) during their years in retirement. Use the chart called: Predictive Years of Receiving Social Security Benefits. Also use the born in 1940 data.ABC company has recently experienced a sharp decline in its stock price. Its current (time 0) stock price is $42.65, and this morning, it paid $5.00 per share. Given that the stock price four years ago was $82.88, complete the following time series of data by determining the missing values. t= -3, Pt =$83.43, Divt = $16.03, Rt = (1)t= -2, Pt =$85.20, Divt =(2), Rt = 22.8482%t= -1, Pt =(3), Divt =$17.50, Rt = 20.6572%t= 0, Pt =$42.65, Divt =$5.00, Rt =(4)