a) Construct a time series plot. What type of pattern exists in the data? The data appear to follow a trend pattern.The data appear to follow a horizontal pattern.    The data appear to follow a seasonal pattern.The data appear to follow a cyclical pattern. (b) Develop three-month and four-month moving averages for this time series. (Round your answers to two decimal places.) Month Time Series Value 3-Month Moving Average Forecast 4-Month Moving Average Forecast 1 9.5     2 9.4     3 9.5     4 9.7     5 9.8     6 9.8     7 9.9     8 10.6     9 10.0     10 9.8     11 9.7     12 9.7     Does the three-month or four-month moving average provide the better forecasts based on MSE? Explain. The four-month moving average provides more accurate forecasts, because its MSE is smaller than that of the three-month moving average.The three-month moving average provides more accurate forecasts, because its MSE is smaller than that of the four-month moving average.    The four-month moving average provides more accurate forecasts, because its MSE is larger than that of the three-month moving average.The three-month moving average provides more accurate forecasts, because its MSE is larger than that of the four-month moving average. (c) Using the more accurate approach, what is the moving average forecast for the next month? (Round your answer to two decimal places.)

Demand for oil changes at Garcia's Garage has been as follows: Number of Oil Changes January 44 February 49 March 66 IT April 59 May 53 June 58 59 63 Month July August a. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For Janu The forecasting model is given by the equation Y=+x. (Enter your responses rounded to two decimal places) J Show Transcribed Text >. Use the model to forecast demand for September, October, and November. Here, X=9, 10, and 11, respectively. (Enter your responses rounded to two decimal places.) Forecast for the number of Oil Changes Show Transcribed Text Month September October November can you do all the parts please corrrect

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 360 389 412 378 366 371 a) The forecasted demand for the week of October 12 using a 3-week moving average: to two decimal places). = pints (round your response

Pls answer b and c

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The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the Deborah Bishop Company in Des Moines: Month May June July August September October Actual Demand 105 82 110 112 108 106 130 120 Forecast Demand 100 108 97 98 108 102 105 107 November December For the given forecast, the tracking signal = MADS (round your response to two decimal places).

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.)

The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the Deborah Bishop Company in Des Moines: Month May June July August September October For the given forecast, the tracking signal = = MADS (round your response to two decimal places). November December Actual Demand 100 80 1/10 115 105 110 125 120 Forecast Demand 100 104 99 101 104 104 105 109

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)

Demand for oil changes at Garcia's Garage has been as follows: Month January February March April May June July August Number of Oil Changes 38 55 56 60 58 01 70 52 a. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For January, let X=1; for February, let X 2; and so on. The forecasting model is given by the equation Y=X (Enter your responses rounded to two decimal places)