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. Month 1 2 3 4 5 6 7 Value 18 26 22 27 23 22 27 The 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 for month 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 Value 1 18 2 26 3 22 4 27 5 23 6 22 7 27 Forecast Value 18+ 26 2 = 18+ 26 +22 3 18 Find the forecast for month 8 using this pattern. (Round your answer to two decimal places) Type here to search W 43 H 72°F 8:55 PM 5/9/2024 10 PRD +

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