Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R? = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year What is the dependent variable and what does it represent? Percentage Years Income in dollars Not able to determine Percentage

Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R? = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year What is the dependent variable and what does it represent? Percentage Years Income in dollars Not able to determine Percentage

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Q1A The table below contains information on 48 houses: the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Table: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192 240000 12064 240000 11648 225000 12480 289000 11648 270000 12896…
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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
Which of the following is an example of quantitative data? Select all that apply The steak weighs 8 ounces. The Apple Watch is charged to 64%. The Iphone has low battery. The grass is green The chicken is heavy. Sally has a temperature of 99 degrees Fahrenheit. It is 108 degrees outside.
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 6 1 16 12 2 1 16 1 Score 72 51 87 72 60 63 100 48 r2r2 = (Round to two decimal places) There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 84%. There is a 84% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. Given any group that spends a fixed amount of time studying per week, 84% of all of those students will receive the predicted score on the final exam. 84% of all students will receive the average score on the final exam. 3. Use the model to predict the final exam score for a student who spends 11 hours per week studying.Final exam score = (Please round your answer to the nearest whole…
+ 59 64.5 66 75% of this data falls below what value? 5.5 77 59 64.5 66 18 70 70 77
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
CVheights = ________ % CVage = ________ % And compare the results
SON ********** b. Do the organic Dr. Stephanie Andrews (5) Researchers from the University of Miami found that a person's GPA in high school could be an indicator of how much that person will earn later in life. The chart below depicts the findings of the study. Average annual earnings in adulthood, by high school GPA Men $50,000 40,000 30,000 20,000 10,000 0 0.0 Women 0.5 1.0 1.5 2.0 2.5 HIGH SCHOOL GPA SOURCE: University of Miami GRAPHIC: The Washington Post. Published May 20, 2014 3.0 3.5 4.0 4 a. Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which is dependent? b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is the correlation positive or negative? (Write at least two sentences.) c. Does a person's High School GPA cause them to earn a certain salary in adulthood? Explain. (Write at least one sentence.) sta tement
The data set below on the left represents the annual rate of return (in percent) of eight randomly sampled bond mutual funds, and the data set below on the right represents the annual rate of return (in percent) of eight randomly sampled stock mutual funds. Use the information in the table below to complete parts (a) through (d) Then complete part (e). Question Help What is the CV of the data set for bond mutual funds? Bond mutual (Type an integer or decimal rounded to three decimal places as needed) Stock mutual O funds funds What is the CV of the data set for stock mutual funds? 3.1 1.7 9.3 7.5 1.8 3.3 9.0 7.3 2.3 2.6 8.3 7.1 (Type an integer or decimal rounded to three decimal places as needed) 1.5 1.9 8.0 6.8 Based on the coefficient of variation, V have more spread. (e) In the table below, the data set on on the right has the same students' hi and the standard deviation. Draw a c coefficient of variation for both data si udents measured in inches, while the data set ars. For each…
Using the data from the table Disease or illness less than $35,000 $35,000 - 49,999 $50,000 - 74,999 $75,000 - 99,999 $100,000 or more Coronary heart disease 8.1 6.5 6.3 5.3 4.9 Stroke 3.9 2.5 2.3 1.8 1.6 Emphysema 3.2 2.5 1.4 1.0 0.8 Chronic bronchitis 6.3 4.0 4.4 2.2 2.4 Diabetes 11.0 10.4 8.3 5.6 5.9 Ulcers 8.7 6.7 6.5 4.7 4.4 Kidney disease 3.0 1.9 1.3 0.9 0.9 Liver disease 2.0 1.6 1.0 0.6 0.7 Chronic arthritis 33.4 30.3 27.9 27.4 24.4 Hearing trouble 17.2 16.0 16.0 16.2 12.4 Vision trouble 12.7 9.8 7.5 5.7 6.6 No teeth 11.6 7.8 5.5 4.2 4.1 A) create a line graph plotting Annual family income on the x-axis and prevalence of disease or illness on the y-axis. Include all data points for each disease on the same chart ( i.e.? plot the prevalence for each disease or illness as it's own line on a single chart) B) do any of the chronic disease in the table appear to have a dose-response relationship to annual family income? Justify your…
% per $100 30 20 10 1 3 4 6. 7. Wages (hundreds of dollars) The distribution of weekly income for a group of par-time employees of a company is shown in the histogram above. What percent of the company earn between $300 to $600 weekly? (Enter the answer without the percent sign. For example, if your answer is 20%, enter 20.)