2. Is there an association between square footage and asking price? Describe the association in terms of direction , form , and strength in context . footage<-c(1561,1818,1421,1488,1356,1430,1881,1253,1300,1500,1806,1777,1995)price<-c(425,489,379,499,299,380,560,429,524.9,429.9,580,459,665)xyplot(price-footage,xlab"square Footage",ylab="Asking price($000)",type=c("p","r")) 6005004003001400160018002000square Footagecor(price, footage)## [1] 0.7088847pricemodel<-1m(price~footage)msummary(pricemodel)Estimate Std. Error t value Pr(> |t|)#### (Intercept)## footage21.14411 136.314490.155 0.879540.283880.08516 3.333 0.00667 **#2### Residual standard error: 71.64 on 11 degrees of freedom## Multiple R-squared: 0.5025, Adjusted R-squared: 0.4573## F-statistic: 11.11 on 1 and 11 DF, p-value: 0.006671Asking price($000)

Answered: 2. Is there an association between…

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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Part II: Joe and his Dream Porsche Joe is 16 years old and has decided that he wants a brand-spankin' new Porsche Boxter Convertible, but his mom says there's no way that he could ever afford it! So, Joe has decided to show his mom that he will be able to purchase his dream car at the age of 35 if he plans his finances just right. He's asked you to help him plan. A. How much will his car cost in 19 years? The following table shows the approximate MSRP (manufacturers suggested retail price) of a Porsche Boxter Convertible from 2004 to 2008. Create a scatter plot of the data and determine the line of best fit, finding an appropriate slope and initial value assuming it started in 2004.. Year MSRP 2004 $57 510 2005 $59 130 2006 $60 750 2007 $61 965 2008 $63 600 B. Financing Joe's new Porsche Joe knows that he will have to put 10% down on his car. To save up for this down payment, he plans on investing a set amount monthly, starting now, into Teen's Choice Financial's Interest Plus Savings…
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2. We want to describe the so-called typical student at Penn State Harrisburg. What are some variables that we could measure that describe a characteristic of the student that can be? a. an interval variable b. an ordinal variable c. a nominal variable
9. a) How accurate do you think this estimate is? Explain. b) Will this trend continue forever? Why or why not? 10. Compare the two lines of best fit that you drew in this investigation. a) Was one easier to draw than the other? b) Was one a better model for the data than the other? Justify your answers. Please answer questions 1-10 thank you.
a. Make the case with graphs and numbers that women are a growing presence in the U.S. military. b. Make the case with graphs and numbers that women are a declining presence in the U.S. military. c. Write a paragraph that gives a balanced picture of the changing presence of women in the military using appropriate statistics to make your points. What additional data would be helpful?
a.Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which isdependent?b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is thecorrelation 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.
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The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? OA. The variable "weekly time spent watching television" is likely normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. OC. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for…
+ Automatic Zoom Weight (tons) 70 60 50 40 30 ROSA200 16, 17, 10 20 40 60 80 100 Length (feet) X4 Which statement accurately describes the information in the scatter plot? A. The information shows a positive correlation. The weight of a dinosaur tends to increase according to its length. B. The information shows a negative correlation. The weight of a dinosaur tends to decrease according to its length. C. The information shows no correlation. The weight and length vary according to the type of dinosaur. D. The information shows no correlation. The relationship between the weight and length of a dinosaur is uncertain. Book Page 182-183
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complete sentences) 1. A high school guidance counselor analyzed data from a sample of 300 community colleges throughout the United States. One of his goals was to estimate the annual tuition costs of community colleges in the United States. Describe the population and variable of interest to the guidance counselor (also explain the definitions).
(Multiple choice) Histograms can have a bell/normal shape or they can be skewed either positively or negatively. Which of the following variables is most likely to follow a bell/normal shape when graphed?

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