Consider the following time series data.     Choose the correct time series plot. (i)   (ii)   (iii)   (iv)   Plot (ii)  What type of pattern exists in the data? Horizontal Pattern  Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time Series Value Forecast 1 18   2 13   3 16   4 11 fill in the blank 3 5 17 fill in the blank 4 6 14 fill in the blank 5 MSE: fill in the blank 6 The forecast for week 7: fill in the blank 7 Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time Series Value Forecast 1 18   2 13 fill in the blank 8 3 16 fill in the blank 9 4 11 fill in the blank 10 5 17 fill in the blank 11 6 14 fill in the blank 12 MSE: fill in the blank 13 The forecast for week 7: fill in the blank 14

Time Series Graphing Exercise Air Quality The following data show the number of days the air quality for Atlanta, Georgia, was below the accepted standards. Draw a time series graph for the data shown below. The times series graph maybe completed using excel or hand generated. If hand generated take a picture of the graph and attach the photo. Interpret the results. . . Exercise Data Year Days 2005 5 2006 14 2007 15 2008 4

Part c?

Ta Mete a lan Mlaa Ma t Cun hane 15 tradeshare This graph is an example for a. time-series data b. panel-data c. experimental data d. cross-sectional data

Citi Bike is a privately owned public bicycle sharing system in New York City that has become increasingly more popular in the past few years. Citi Bike is designed to provide an alternative version of public transportation. Trips taken on daily or 3-day passes are limited to 30 minutes before extra fees are charged. The following data indicate the trip times in minutes for a single Citi Bike in a daily period. (a) Create a stem-and-leaf plot for the data. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) 12 stems: ones leaves: tenths 1213 12.3 minutes 13 Stem Leaves 14 15 16 17 18 19 20 21 22 23 18.2 24 16.7 16.2 18.2 12.3 20.1 25.5 19.0 19.4 16.9 25 25.2 23.8 22.2 25.4 21.3 26.2 18.6 25.9 26.0 24.9 26 (b) Which trip time (in minutes) could be considered a possible outlier in the data? min

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 ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 54.22)      (2000, 52.13) (1988, 53.23)   (2004, 52.14) (1992, 52.94)   (2008, 51.42) (1996, 52.80)   (2012, 51.30) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let  t = 84 represent 1984.   (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y =          (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y =

4b62-a72b- Anthony records the number of misspelled words per page in a short story. Below is the data. Provide your answer below: Frequency 14 13 12 13- --12- Make a dot plot that represents the misspelled word data. -11- -10- -9- -8- -7- 1 6- 1 6 LO 5 3 3 4 7 3 4 1 2 6 2 2 1 3 3

QUESTION 2 Use the dot plots to find the mean, median, and IQR of each class. Round to 1 decimal place, if needed. 10 Class A Class 6 ean median IQR Class A 7.3 Class B 7.1 2 QUESTION 3 Click Save and Submit to save and submit Click Save All A iswers to save ali answer a Cip fg ho h2 f6 10

Find text or tools Use the information provided below to answer questions 24-25. INFORMATION The times series graph below shows information about the quarterly number of tourists from the European Union (EU) to vh Africa over the 2021-2023 period. The underlying trend line indicated by the dotted line is defined by the equation, y 703x-176 577. Time ones graph of quarterly number of tourists for EU to South 40000 REANDDIC 300000 2240 2010 200000 150000 18390 1000 0 2 --T Arica (2021-2023) 12920 30000 2013 8 10 1999 18 QUESTION 24 (4 marks) Using data from the graph, estimate the mean seasonal variation (or average seasonal effect) for quarter 4 (Q4) and use it to predict the number of tourists from the EU expected to visit South Africa in quarter 4 of 2024. A. The mean seasonal variation is -25 000; the number of tourists from the EU expected to visit South Africa in quarter 4 of 2024 is 322 825. B. The mean seasonal variation is 25 000, the number of tourists from the EU expected to…