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 visit South Africa in quarter 4 of 2024 is 332 825. C. 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 312 825. D. 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 372 825. QUESTION 25 (4 marks) The data utilised for the 3-Month Moving Average Forecasting in the table below represents the number of EU tourists who visited South Africa during the twelve quarters of the 2021-2023 period, extracted from the time series graph provided above. Quarter Actual number of EU tourists to South Africa Year 3-Month Moving Average Forecasts of the number of EU tourists Absolute Deviation 2021 Q1 183 160 2021 Q2 224 510 2021 Q3 234 360 2021 Q4 194 389 214 010 19621 2022 Q1 182 900 217 753 34 853 2022 Q2 234 880 W Y 2022 Q3 269 530 204 056 65 474 2022 Q4 237 201 229 103 8 098 2023 Q1 264 970 247 204 17 766 2023 Q2 321 000 x Z 2023 Q3 331 200 274 390 56 810 2023 Q4 280 013 305 723 25 710
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 visit South Africa in quarter 4 of 2024 is 332 825. C. 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 312 825. D. 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 372 825. QUESTION 25 (4 marks) The data utilised for the 3-Month Moving Average Forecasting in the table below represents the number of EU tourists who visited South Africa during the twelve quarters of the 2021-2023 period, extracted from the time series graph provided above. Quarter Actual number of EU tourists to South Africa Year 3-Month Moving Average Forecasts of the number of EU tourists Absolute Deviation 2021 Q1 183 160 2021 Q2 224 510 2021 Q3 234 360 2021 Q4 194 389 214 010 19621 2022 Q1 182 900 217 753 34 853 2022 Q2 234 880 W Y 2022 Q3 269 530 204 056 65 474 2022 Q4 237 201 229 103 8 098 2023 Q1 264 970 247 204 17 766 2023 Q2 321 000 x Z 2023 Q3 331 200 274 390 56 810 2023 Q4 280 013 305 723 25 710
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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