Life expectancy in the United States has been rising since the nineteenth century. The table shows the U.S. lifeexpectancy in selected years.Year195019601970198019902000Life expectancyat birth68.269.770.873.775.477a. Let t represent the number of years after 1950, and plot the data. Draw a line a best fit for the data points.80+76-5 10 15 20 25 3035 40 45 50Draw:72+64-60+565248-44Clear All

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Answered: Life expectancy in the United States…

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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Homework: Section 2.4 Homework Save Score: 0 of 1 pt 10 of 10 (9 complete) v HW Score: 70%, 7 of 10 pts 2.4.47 Question Help The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. E Click the icon to view the data sets. CV neights = % (Round to one decimal place as needed.) Data Table Heights Ages 78 23 78 26 74 23 78 24 75 25 78 27 77 31 75 28 79 26 78 36 74 36 78 37 Enter your answer in the answer box and then click Che Print Done 2 parts remaining Clear All Check Answer 近

A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
Using the 4 weeks of data below, forecast sales for the fifth week using a 3-week weighted moving average. The oldest weight is 0.1 and the most current weight is 0.6. Week 1 2 90.4 84.5 72.3 80.3 73.1 Sales 68 77 72 192
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Sunspot Numbers Listed below in order by row are annual sunspot numbers beginning with 1980. Is the best model a good model? Carefully examine the scatterplot and identify the pattern of the points. Which of the models fits that pattern?
Draw a scatter diagram and find r for the data shown in the table. (Round r to three decimal places.) x y 10 15 20 42 30 60 30 54 50 70 60 85 find r
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
find the 5 number summary and construct a box plot for company A
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. heights Ages 73 28 76 22 74 23 72 24 77 24 78 27 76 31 79 28 73 27 78 35 74 33 79 36
Could you please tell me if my work is correct? Forbes magazine published data on the best small firms in 2012. These were firms which had been publicly listed for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table shows the ages of the chief executive officers for the first 60 ranked firms. Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 0.05 0.05 45–49 11 0.18 0.23 50–54 13 0.22 0.45 55–59 16 0.27 0.72 60–64 10 0.17 0.88 65–69 6 0.10 0.98 70–74 1 0.02 1.00 Total: 60 1 How I got the calculations: Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 =F10/F17 =G10 45–49 11 =F11/F17 =H10+G11 50–54 13 =F12/F17 =H11+G12 55–59 16 =F13/F17 =H12+G13 60–64 10 =F14/F17 =H13+G14 65–69 6 =F15/F17…
DataValues 5 9 43 75 77 78 96 98 100 What is the 5th decile?

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