An analyst must decide between two different forecasting techniques for weekly salesof roller blades. Based on the following data, answer the below questions.timeUnits sold14714815114515515215515716010165What's the forecast for period 11 using 3 period moving average?12345678O 160161157158

The data shows the weekly sales of roller blades.

Answered: An analyst must decide between two…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Judge and Cable (2010) reported the results of a study demonstrating a negative relationship between weight and income for a group of women professionals. To simply the weight variable, the women are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000. Weight (X) Income (Y) 1 125 2 78 4 49 3 63 5 35 2 84 5 38 3 51 1 93 4 44 b. Compute the Pearson correlation for these data. c. What percentage of variance for the income is predicted from the weight for the women group?
Use the following sales data: Week Sales 1 30 2 35 3 56 4 85 5 95 6 45 7 65 8 74 9 73 10 39 Use naive method, a three-period moving average and exponential smoothing with an a=0.35 for forecast sales Compare the forecasts using MSE and MAD. Explain which one is the best. Make a forecast for weeks 11 and week 12 by using the optimal method.
Using the data below and a second order model with one predictor variable, predict the sales for 50 months. Enter to the nearest cent. Do not use $ signs. Months Sales 41 275 103 296 76 317 106 376 22 162 12 150 85 367 111 308 45 189 51 235 15 83 12 112 8 67 56 325 19 189 Answer:
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.8 8.2 6.8 3.5 2.8 2.8 2.3 0.5 y 13.9 10.8 10.1 7.2 6.5 6.5 6.3 4.8 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.81x + 4.35. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.8 thousand automatic weapons? Answer = Answer = Round to 3 decimal places.
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
Please assist with this Forecasting question. Show all workings and provide explanations. Also, show all input in the table please
Need asap. Just need help with the last answer.
Sales for the past 12 months at Computer Success are given here. Month Sales ($) Month Sales ($) January February March April May June 3000 3400 3700 4100 4700 5700 July August September October November December 6300 7200 6400 4600 4200 3900 a. Use a three-month moving average to forecast the sales for the months May through December.b. Use a four-month moving average to forecast the sales for the months May through December.c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
Give typed full explanation
For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all work in an Excel file. month rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5 9 9.9 10 9.7 11 9.6 12 9.6
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.6 7.2 3.6 13.5 11.3 10.1 x = thousands of automatic weapons y = murders per 100,000 residents 2.4 2.8 2.3 0.9 7 6.1 6.6 5.9 4.7 This data can be modeled by the equation y = 0.83x +4.06. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.

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