The MSE is to be calculated again, but this time will be based on the forecasts made using the average of the data. The given data follow.Month1234567Value 18262227232227The forecast for month 2 will be the observed value from month 1. The forecast for month 3 will be the average of the observed values from months 1 and 2. The forecast formonth 4 will be the average of the observed values from months 1, 2, and 3.Complete the column of forecast values using this method.Month Value118226322427523622727Forecast Value18+ 262=18+ 26 +22318Find the forecast for month 8 using this pattern. (Round your answer to two decimal places)Type here to searchW43H72°F8:55 PM5/9/202410PRD+

Step 1: Given that As we know that Average = Sum of observation / number of observations Just we…

Answered: The MSE is to be calculated again, but…

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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following is data for the first and second QUiz scores for 7 students in a class. Sketch a line that best fits the data. 32 Q2 Quiz Scores Quiz 1 Quiz 2 21 20 28 29 24 20 17 24 27 25 23 19 20+ 25 25 24 20 16 12 4 Q1 4 12 16 20 24 28 32 Clear All Draw: Use the line above to predict the value of the second quiz score if a student had a score of 27 on the first quiz. (Please enter a whole number)
Only parts c and d
The following is data for the first and second Quiz scores for 8 students in a class. First Quiz Second Quiz 15 16 26 37 40 35 30 25 20- 15 10- --5- 47 48 50 10 19 26 33 38 39 40 47 Plot the points in the grid below, then sketch a line that best fits the data. 50+ 45 40- 10 15 20 25 30 35 40 45 5
Provided here is a dataset from a class. This data was collected from an 8-10am course that met every Tuesday and Thursday. Answer all of the following questions. Give your answers in sentences and/or copy/paste your Excel graphs/commands when used. 2019 Data Gender Age Height (in) Shoe Size Miles Home to school Classes this Semester M 20 77 15 3 4 F 45 63 11 8 3 F 20 62 8.5 22 4 F 19 68 9 7.5 4 M 19 70 9.5 6.5 4 F 18 63 6.5 6.5 5 F 21 62 5.5 2 4 F 19 65 7 7 4 F 18 64 8.5 5.5 5 F 19 60 7 15 3 F 21 60 6.5 5 1 M 19 72 11 15 5 M 42 68.75 11 5 1 M 18 74 11.5 2.5 4 F 18 62 6.5 7.5 4 F 19 60 7.5 3 5 F 20 59 4.5 3.5 5 M 20 78 14 87 5 M 19 72.5 12 0.5 4 M 21 66 8.5 5 4 M 19 76 12 45 5 M 19 71 12 22 5 M 19 69 11 4.5 4 F 19 65 7 2 4 F 25 66 8 1 2 M 19 68 10 5 4 M 19 72 11.5 82 4 F 18 64 8.5 21 4 F 23 70 9.5 4 3 D) Find the mean and standard deviation of the heights of this sample of students. E) The Empirical Rule…
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
The variable week# is at what level of measurement
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 =
Charlotte-Mecklenburg Schools Math 1. Unit 4. Lesson 7 Student 3. Plots of the residuals for four different models of the same data set are displayed. Which of the following plots fit the data best? a. 1 2 3 2 1 3+ 1 2 3 4 5 6 7 8 9 10 b. 3 2 1 1 2 3 + ● 1 2 3 4 5 6 7 8 9 10 C. 4 3 2 1 1 2 3 4 ● 1 2 3 4 5 6 7 8 0 10 d. 3- 2 1 N 2. 3+ 1 2 3 4 5 6 7 8 9 10
Consider the women's 100-yd dash (and the subsequent 100-m dash) in the Olympics since records have been kept. Determine the best way to combine all data and depict the data. Choose the correct answer below. O A. A line graph would be the best way to show all of the data over time, but some measurements would have to be converted to display the 100-yd and 100-m on the same graph. OB. A scatterplot would show the relationship between the 100-yd dash and the 100-m dash. O C. A stem and leaf plot would be the best way to show all of the data grouped by race times. O D. A histogram would show all of the data by comparing each year. The units of distance would not matter. Click to select your answer. 2:50 PM P Type here to search 3/10/202 Prt Scn End F10 PgUp Home F7 DII B F5 F6

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