Theater revenue(in millions of dollars)26.16.6Figure 160.115.736.112.5Send data to calculatorSend data to ExcelThe least-squares regression line for these data has a slope of approximately 0.15.Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult alist of formulas.)(a) What is the value of the y-intercept of the least-squares regression line for these data?Round your answer to at least two decimal places.(b) What is the value of the sample correlation coefficient for these data?Round your answer to at least three decimal places, A movie studio wishes to determine the relationship between the revenue from rental of DVDS and videotapes of comedies and the revenue generated from thetheatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These datagive the revenue x from theatrical release (in millions of dollars) and the revenue y from DVD and videotape rentals (in millions of dollars) for each of the fifteenmovies. The data are displayed in the Figure 1 scatter plot.EspañolTheaterRentalrevenue, x(in millions ofdollars)revenue, y(in millions ofdollars)66.49.76.12.118 +45.16.416+Aa27.712.114+15.91.912+61.79.310+20.34.828.13.2449.415.813.99.920 3030.25.00.104050607025.79.6Theater revenue(in millions of dollars)26.16.6Figure 160.115.736.112.5Send data to calculatorSend data to ExcelRental revenue(in millions of dollars)

The independent variable is theater revenue. The dependent variable is rental revenue. This is…

Answered: À movie studio wishes to determine the…

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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Business has been good! As a result, Benjamin has a total of $25,000 in bonus pay to distribute to his employees. One option for distributing bonuses is to give each employee (including himself) $2,500. Add the bonuses under this plan to the original salaries to create a new data set. Recalculate the mean, median, and mode. How do they compare to the originals?
Draw a scatter diagram for a set of data that has an r= -1
On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. team league price wins cost/win Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 Cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers NL 20.09 82 34.64 Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies NL 26.73 89 48.69 Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71…
As the leader of the sales team, you would like to increase the revenue brought by your team. You discovered a program for sales personnel that supposedly improve interpersonal skills and thus help settle deals with customers more often. You decide to send8 of your sales people for the training, and compare the amount they brought in sales in the month before they went and in the month after they received the training. The data are: Xbefore: 400, 300, 1200, 2100, 700, 450, 650, 3400 Xafter: 1000, 400, 1000, 2500, 1200, 600, 800, 3000 A. Identify the appropriate statistical measure to use. B. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05, can you report to upper management that the training worked? Or was it a waste of money? C. Calculate 95% confidence intervals for the estimate of the difference.
Rail ridership during the summer months in the North-East is believed to beclosely related to the number of tourists visiting the region. The following tableshows the data on the number of tourists and North-East ridership for the past16 years.Year Tourists( in millions) Rail Ridership (in millions) 2000 9 2.32001 4 1.9 2002 7 1.7 2003 5 1.8 2004 12 2.8 2005 13 2.9 2006 14 2.42007 20 4.8 2008 7 1.3 2009 5 1.12010 9…
Name all of the following data sets that you would expect to be skewed. I. waiting times at the bankII. salaries of teachersIII. the selling price of homes IV. fuel efficiency of compact cars II and III IandII I, II, and III IV
If a data set has 15 mean standard daviation 2 , percentage observation lie between 13 and 17
why do you think the data presented this way?
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
A County Board of Supervisors has appointed an urban planning committee to evaluate proposed community development projects. The committee is analyzing, among other things, data on household incomes in two cities within the county. They have collected data on the income of 80 households in each of the two cities. The histograms below show the distributions of the two sets of incomes (in thousands of dollars). Each histogram shows household income on the horizontal axis and number of households on the vertical axis. The means and standard deviations for the data sets are also given. City A City B 25- 25 - 20+ 20- 15- 15- 10+ 10- 5+ 5- 0- 10 20 30 40 50 60 70 80 90 100 10 20 30 40 50 60 70 80 90 100 City A mean: 38.13 thousand dollars City B mean: 55.13 thousand dollars City A standard deviation: 20.84 thousand dollars City B standard deviation: 14.71 thousand dollars The committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is…
Identify an important reason for grouping data.
Several years ago, the state of California launched an aggressively advertisement campaign against smoking. We've interviewed students from 16 college campuses in California and recorded for each campus the percentage of students who claimed that they had encountered assay least one anti smoking advertisement on campus in the past month. Here are those percentages. 53 39 30 49 48 42 41 38 26 36 40 42 52 51 45 50 Construct a box and whisker plot for the data.

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