Answered: 13. Does the following have a positive,…

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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6. A man is told his weight has a standard score (z-score) of 0. This means his weight is A. O pounds. B. at the median weight for males. C. at the 50th percentile for males. D. Both B and C 7. The correlation between gas mileage and car size is likely A. positive. B. negative. С. О. 8. The correlation between Internet speed and cost of Internet service is likely A. positive. B. negative. С. О.
4) The table shows, for the years 1997–2012, the mean hourly wage for residents of the town of Pity Me and the mean weekly rent paid by the residents. Mean hourly wage (dollars) Mean hour. Mean weekly rent (dollars) Mean weekly rent (dollars) Year Year (dollar 116 1997 57 10.38 2005 28.99 59 113 1998 10.89 2006 28.63 2007 1999 62 11.96 112 36.75 14.55 2000 63 12.46 2008 86 17.90 2001 86 17.72 2009 90 2002 2010 119 28.07 90 14.67 131 35.24 2003 2011 17.97 100 122 2004 2012 22.23 31.87 115 Find the least squares line that uses mean hourly wage to predict mean weekly rent. Round values to the nearest ten-thousandth. Include a scatter plot with the regression lino
In April of 2012, the Centers for Disease Control and Prevention announced that birth rates for U.S. teenag-ers reached historic lows. From 2009 to 2010 the rate declined 9%, to a level of 34.3 births per 1000 womenaged 15–19. Which of these conclusions is an example ofextrapolation in this context?A) There was a decreasing trend in teenage birth ratesat the time of this study.B) Time is an explanatory variable in the change ofteenage birth rates.C) By 2014, teenage birth rates will be 36% lower andset new records.D) There is a linear relationship between year andteenage birth rates.E) None of these is an example of extrapolation.
The harmonic mean of the earning of the company is-(in $) 56 67 43 21 76 47 1)44.45 2)48.56 3)43.44 4)45.44
5. Management of a home appliance store wants tounderstand the growth pattern of the monthly sales of a new technology device over the past two years.The managers have recorded the relevant data inthe file P13_05.xlsx. Have the sales of this devicebeen growing linearly over the past 24 months? Byexamining the results of a linear trend line, explainwhy or why not.
63. Consider three investments. You are given thefollowing means, standard deviations, and correlations for the annual return on these three investments.The means are 0.12, 0.15, and 0.20. The standarddeviations are 0.20, 0.30, and 0.40. The correlationbetween stocks 1 and 2 is 0.65, between stocks 1 and3 is 0.75, and between stocks 2 and 3 is 0.41. Youhave $10,000 to invest and can invest no more thanhalf of your money in any single stock. Determine theminimum-variance portfolio that yields a mean annualreturn of at least 0.14.
24. A sports medicine major wanted to conduct an experiment to determine if there is a correlation between the members of the soccer team's leg strength and the time it takes for them to sprint 40 yards. He sets up the following test and records the data: Every day for a week, he counts how mnany times each player can leg press 350 pounds. The following week, he has each player sprint 40 yards every day. The table shows the average number of leg-press repetitions and the average 40-yard dash time (in seconds) for seven randomly selected players. What is the equation of the line of best fir? How many seconds should he expect a player to take to run -0 yards if that player can do 22 leg-press repetitions Round any values to the nearest tenth, if necessary Leg Press (reps) 32 7 11 23 28 15 12 40-vard Dash (s) S.6 14.6 7.1 S.3 11 9 13 4 9.5 53°F a
9. A study claims that the mean survival time for a certain cancer patient treated immediately with chemotherapy and radiation is 24 months. Which is the parameter? A. 24 months B. study claims on cancer C. mean survival time for a certain cancer patient D. mean survival time of 24 months with chemotherapy and radiation
21. In a classic study of procrastination by Lay (1986), in an introductory psychology class, students received a survey that measured procrastination. Participants were instructed to complete the survey and return it to the researcher by mail. High-procrastinating partici- pants were identified by their degree of agreement with survey items like, “I often find myself performing tasks that I had intended to do days before." Interest- ingly, the researcher also measured the amount of time that it took for participants to return the survey. The following represents the number of days that some of the high procrastinators waited to return the survey: 14 15 5 2 1 2 19 6 18 a. Use a one-tailed test with a = .05 to test the hypoth- esis that high procrastinators waited more than one day to return the survey. b. Compute the 95% confidence interval for the mean amount of time required to return the survey. c. Write a sentence showing the outcome of the hypoth- esis test and the confidence…
2. Suppose that it was definitively proved that there exists a positive correlation between children playing more violent video games and committing more violent acts in real life. That is, the more hours a child spends playing violent video games, the more likely he is to commit a violent act. Would this prove that violent video games cause children to become more violent? Explain.
“The incidence of depression among college students is negatively correlated with the number of sunny days each year in the locale where they attend college.” This statement means that: a. a student attending college in a locale with very few sunny days will become depressed. b. if a depressed student were to move to a locale with more sunny days, the student's depression would subside. c. the chances of a college student being depressed tend to increase as the number of sunny days increases. d. the chances of a college student being depressed tend to increase as there are fewer sunny days.
8. Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. a) The average selling price of a model of car and the cost of a loaf of bread on a given day b) The number of crimes committed in an area and the selling price of homes in that area c) The number of pets owned by a family and the cost of their vet bills

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13. Does the following have a positive, negative, or neutral trend?