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- Consider the following data on domain [-1,1] x -1 -1/2 0 1/2 y 1 -1/2 1 5/2 Need help to rescale and transfer the data so that x ∈ [0,2π].Let, X-The level of education and Y-Income Given data: X Y 1 12000 2 14000 3 15000 4 21000 5 23000 6 25080 7 40000 8 50000 Use the information to determine two variables level of education and annual income through visualisation.Calculate the coefficient of skewness from the data as follows. Hours No. of Tubes 300-400 14 400-500 46 500-600 58 600-700 76 700-800 68 800-900 62 900-1000 48 1000-1100 22 1100-1200 6
- This is my data... 350000, 400000, 439900, 472900, 489900, 499888, 499900, 514000, 519900, 522100, 531900, 534900, 550000, 599000, 633000, 639000, 654900, 667300, 699900, 709900, 733500, 739900, 745500, 746600, 793900, 799900, 801000, 809900, 815000, 828900, 849000, 877900, 909800, 944300, 959900 Question: Some students think that a 90% confidence interval contains 90% of the data. Use the list of data above and count how many of the data values lie within the confidence interval. What percent is this? Is the percent close to 90%? Explain why this percent should or should not be close to 90% Mean = 665236 Standard deviation = 164042 Sample size (n) = 35You have the following data: Gasoline Sales during 2017.1 to 2020.4 (in 000 of barrels) Year and quarter Gasoline Sales Year and quarter Gasoline sales 2017.1 22434 2019.1 22776 2017.2 23766 2019.2 24491 2017.3 23860 2019.3 24751 2017.4 23391 2019.4 24170 2018.1 22662 2020.1 23302 2018.2 24032 2020.2 24045 2018.3 24171 2020.3 25437 2018.4 23803 2020.4 25272 (A)Using data on gasoline sales (in thousands of barrels) from the first quarter of 2017 to the last quarter of 2020, estimate the secular linear trend equation. (B) Accordingly, forecast gasoline sales for the four quarters of 2021. (C)Use the dummy variables methods to adjust the trend forecasts for the four quarters of2021 you made in (B) above to take the seasonal…please help me solve this practice question using excel functions 7065 6870 6858 6641 6306 6671 6663 6492 6569 6601 6653 6729 7237 6911 6784 7312 7313 7082 7462 7311 6994 7399 7231 7666 7574 7706 7561 7198 7255 7116 7362 7511 7773 7776 7547 7567 7679 7627 7883 7274 7072 7165 7025 7125 7195 7318 7461 7624 7717 7450 7108 7053 6768 6896 7158 7152 7171 6902 6968 6619 6427 6567 6422 6686 6976 7069 7222 7381 7495 7460 7721 7804 7558 7781 7517 7795 7976 8038 8122 7854 7924 7754 7824 7935 8233 8304 8094 7974 7659 7538 7282 7435 7399 7712 8259 7935 8142 7696 7366 7182 7184 7408 7408 7805 7187 7074 7141 7245 7518 7748 7620 7434 7489 7345 7557 7490 7625 7691 7698 8019 8015 8064 8068 7839 7923 7939 8215 8730 8487 8444 8364 7893 8183…
- The data are the maximum daily temperatures at Cox-Dayton International Airport for June and July 2018. maximum daily temperatures at Cox-Dayton International Airport for June and July 2018. Date Max (°F) Jun 1 80 Jun 2 82 Jun 3 81 Jun 4 75 Jun 5 76 Jun 6 71 Jun 7 82 Jun 8 85 Jun 9 86 Jun 10 77 Jun 11 75 Jun 12 78 Jun 13 85 Jun 14 82 Jun 15 86 Jun 16 90 Jun 17 92 Jun 18 92 Jun 19 89 Jun 20 85 Jun 21 72 Jun 22 81 Jun 23 79 Jun 24 85 Jun 25 79 Jun 26 79 Jun 27 81 Jun 28 85 Jun 29 89 Jun 30 92 Jul 1 93 Jul 2…For this exercise, you must input thew following data: Variable name: Low-sugar diet; label: low_feed_consumed: 8.5, 8.0, 13.2, 6.8, 6.45, 6.0, 9.12, 9.75. Medium-sugar diet; medium_feed_consumed: 10.99, 10.5, 9.67, 8.61, 10.92, 12.8, 9.03, 9.45. High-sugar diet; high_feed_consumed: 10.39, 9.97, 13.78, 12.69, 12.8, 9.67, 9.98, 10.67. 2.a) Complete a one-sample t-test. You are testing the low sugar diet mean against the medium sugar diet mean 10 (rounded to a whole number). Also provide the obtained t-value, level of significance and state whether you accept or reject the null hypothesis.Use this data and develop a model of a truck's annual maintenance expenses based on its weekly usage in hours. SSR = ? Group of answer choices 793.25 50.38 .0001 125.97 15.75 Weekly Usage (hours) Annual Maintenance Expense 13 17.0 10 22.0 14 25.0 18 27.0 22 37.0 27 34.0 25 33.0 31 39.0 40 51.5 38 40.0
- Find the value of m, b, and A so that f fits the data.Using customer demand data, a company estimates it needs to produce items at a takt time of 38 seconds per item. Based on the operator loading chart shown (as is, without balancing), this process can meet takt time. True or FalseA study was undertaken to determine whether there was a significant weight (in lb) loss after one year course of therapy for diabetes, and whether the amount of weight (in lb) loss was related to initial weight. The following table gives the initial weight (x) and weight after one year of therapy (y) for 16 newly diagnosed adult diabetic patients.
