1 People who are severely obese (BMI ≥40) are at most risk for serious health problems, which are the most expensive to treat. The percent of people in a country who are severely obese from 2000 and projected to 2030 is shown in the table. Year 2000 % Severely Obese 2.6 Complete parts (a) through (c) below. 2010 4.7 + 2015 6.5 2020 2025 7.9 9.2 ... a. Find the linear function that models severe obesity, with x equal to the number of years after 2000 and y equal to the percent of severe obesity in the country. y= (Type an integer or decimal rounded to three decimal places as needed.) 2030 11.4

1 People who are severely obese (BMI ≥40) are at most risk for serious health problems, which are the most expensive to treat. The percent of people in a country who are severely obese from 2000 and projected to 2030 is shown in the table. Year 2000 % Severely Obese 2.6 Complete parts (a) through (c) below. 2010 4.7 + 2015 6.5 2020 2025 7.9 9.2 ... a. Find the linear function that models severe obesity, with x equal to the number of years after 2000 and y equal to the percent of severe obesity in the country. y= (Type an integer or decimal rounded to three decimal places as needed.) 2030 11.4

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Student Loss in Pounds 1 2 3 4 5 10 6 7 8 9 10 11 12 2.5 2.9 0.4 2.3 0.0 1.5 4.9 4.1 4.5 3.5 1.7 2.9 (a) Find a point estimate for the average amount lost after one week on this diet. Is this an unbiased estimate of the population mean? Explain. Yes, this an unbiased estimate of the population mean, since E(X)* . Yes, this an unbiased estimate of the population mean, since E(X)= =μ. No, this is not an unbiased estimate of the population mean, since the sample size is too small. No, this is not an unbiased estimate of the population mean, since E(x) = μ. No, this is not an unbiased estimate of the population mean, since E(X)*μ. (b) Find a point estimate for the variance of the amount lost on this diet. (Round your answer to four decimal places.) Is this an unbiased estimate of the population variance? Explain. Yes, this an unbiased estimate of the population variance, since E(²) ².
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Personal Bankruptcy in Japan Number of Filings (in thousands) Using the data from the table, estimate the number of filings (N) for 2001. Year d Average Rate of Change 1994 45.0 1998 100.0 2000 149.0 2002 225.0 Source: Financial Services Agency
Multiple Choice Question If you were given the data and scatterplot below, which model would be the best fit for this data? (Gross Federal Government Debt Graph attached) A. Linear Model B. Exponential Model C. You cannt tell from the information given
What is the definition of "median net worth?"____________________
year Income ($) B P1994 6036 85.1 20.41995 6113 87.8 20.21996 6271 88.9 21.31997 6378 94.5 19.91998 6727 99.9 181999 7027 99.5 19.92000 7280 104.2 22.22001 7513 106.5 22.32002 7728 109.7 23.42003 7891 110.8 26.22004 8134 113.7 27.12005 8322 113 292006 8562 116 33.52007 9042 108.7 42.82008 8867 115.4 35.62009 8944 118.9 32.22010 9175 127.4 33.72011 9381 123.5 34.42012 9735 117.9 48.52013 9829 105.4 66.12014 9722 103.2 62.42015 9769 104.2 58.62016 9725 103.7 56.72017 9930 105.7 55.52018 10419 105.5 57.32019 10625 106.5 53.72020 10905 107.3 52.6 Make a forecast of Mr. X's Income for the next five years Make forecast of income for the given values of B =110 and P = 55
Doctors are testing a new antidepressant. A group of patients, all with similar characteristics, take part in the study. Some of the patients receive the new drug, while others receive the traditional drug. During the study, a number of patients complain about insomnia. The data are shown in the contingency table below. What is the relative risk of insomnia for those who receive the new drug? Round to two decimal places. New drug Total Insomnia No insomnia Total Traditional drug 36 Provide your answer below: 52 88 226 295 521 278 331 609
[Statistics] Use R or RStudio Context of the problem:Fire damage in the United States amounts to billions of dollars, much of it insured. The time taken to arrive at the fire is critical. This raises the question, Should insurance companies lower premiums if the home to be insured is close to a fire station? To help make a decision, a study was undertaken wherein a number of fires were investigated. The distance to the nearest fire station (in miles) and the percentage of fire damage were recorded. Here is the data set: Distance Percent7.5 688.3 666.2 341.6 305.6 706 624.3 478.1 725.7 400.3 531.6 182.5 485.8 535.3 486.3 643.4 526.2 613.2 346.3 656.1 664.6 336.7 760.5 343.2 465.3 555 334.8 466.4 490.2 174.9 476.2 637.6 696.6 542.9 522.1 434.8 358.1 581.2 54.6 464 576.1 400.8 395.9 426.5 626.5 527.5 767.2 676.7 454.1 234 334.8 594…
carefully weigh the data before casting your vote. As you review the data, you ask yourself, Assuming both teams handled roughly the same number of customers, which chart impresses me more? Which team is the most consistent? Which team, over time, has better average scores? Growing scores? Declining scores? What does the Descriptive Statistics ToolPak tell me about the data? Which team is showing improvement? Can I estimate (or visually predict using the best fit line) which team will have better future performance? If so, which team? How do I know? …and, for whom should I vote?
How was the cumulative percent column here computed? Please show how these numbers would be correct, if they are correct. I'm not quite sure how to calculate that last column, and what those numbers mean or how we got them. Thank you for your help. X F P % Cumulative % 200-210 9 0.2813 28.13 28.13 210-220 7 0.2188 21.88 50.00 220-230 6 0.1875 18.75 68.75 230-240 4 0.1250 12.50 81.25 240-250 4 0.1250 12.50 93.75 250-260 2 0.0625 6.25 100.00