6. The Dow Jones has been volatile recently and stock closing values for the past 4...
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6. The Dow Jones has been volatile recently and stock closing values for the past 4 years are: Date June 4, 2019 June 4, 2020 June 4, 2021 June 4, 2022 Dow Jones close 24,820 31,490 34,577 32,900 June 4, 2019 is the base with x-0. Use 3 decimal place accuracy as needed. a) (6 pts) Model the data with a linear function using the points in years 2019 and 2022. b) (2 pts) Using your model predict the Dow Jones closing value for June 4, 2023. c) (5 pts) Set up and exhibit a table of (x, y) values to be used for a least squares model and find a linear least squares model y-ax+b for the data. Express the coefficients a and b accurate to 3 decimal places as needed. Also list the R value accurate to 3 decimal places? Note: You are able to use your TI calculator to compute the linear least squares results. d) (3 pts)Using your least squares model predict the Dow Jones close for June 4, 2023. Also show a graph of the actual data and least squares graph superimposed on the same graph. e) (2 pts) Which predictor (part b or part d) for 2023 is more reliable and why? 6. The Dow Jones has been volatile recently and stock closing values for the past 4 years are: Date June 4, 2019 June 4, 2020 June 4, 2021 June 4, 2022 Dow Jones close 24,820 31,490 34,577 32,900 June 4, 2019 is the base with x-0. Use 3 decimal place accuracy as needed. a) (6 pts) Model the data with a linear function using the points in years 2019 and 2022. b) (2 pts) Using your model predict the Dow Jones closing value for June 4, 2023. c) (5 pts) Set up and exhibit a table of (x, y) values to be used for a least squares model and find a linear least squares model y-ax+b for the data. Express the coefficients a and b accurate to 3 decimal places as needed. Also list the R value accurate to 3 decimal places? Note: You are able to use your TI calculator to compute the linear least squares results. d) (3 pts)Using your least squares model predict the Dow Jones close for June 4, 2023. Also show a graph of the actual data and least squares graph superimposed on the same graph. e) (2 pts) Which predictor (part b or part d) for 2023 is more reliable and why?
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a To model the data with a linear function using the points in years 2019 and 2022 we can use the slopeintercept form of a linear equation y mx b We n... View the full answer
Related Book For
Accounting Principles
ISBN: 978-1119048473
7th Canadian Edition Volume 2
Authors: Jerry J. Weygandt, Donald E. Kieso, Paul D. Kimmel, Barbara Trenholm, Valerie Warren, Lori Novak
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