The following graph shows the average price of LCD TVs from 2005 until 2010.$1,800$1,600$1,400$1,200$1,000$800$600$400$20020042005200620072008200920102011YearThis graph is an example of aA) histogram.9 vertical bar chart.B) line chartD) Pareto chart.O AосовO DAverage Price

We have given that an statement about to the graph. We need to find out that the correct choice.

Answered: The following graph shows the average…

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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Given below is the scatter plot of the market value and profit of 50 U.S. companies. Market Value ($000) Positive relationship Negative relationship What kind of relationship is represented? No relationship Scatter Plot at maak Informat Profits ($000)
Use a scatter plot to display the data shown in the table below. The data represents the number of students per teacher and the average teacher salaries (in thousands of dollars) in 10 school districts. Number of Students per Teacher Average Teacher's Salary 17.2 28.6 17.8 46.6 18.2 32.1 17.4 27.6 18.4 39.8 17.6 32.8 15.0 49.5 17.5 38.4 13.7 42.1 18.0 32.4 1.Construct a scatter diagram. 2.Describe the relation between students per teacher and average teacher salary. A. As the amount of students per teacher increases, the average teacher salary also increases. B. As the amount of students per teacher decreases, the average teacher salary increases. C. There appears to be no relation between students per teacher and average teacher salary.
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
A car dealership is analyzing the changes in its monthly sales. They sold 40 cars in March, 55 in April, 61 in May, 29 in June, 63 in July, and 40 in August. Create line graph that represents this data. 3.
The graph below is a scatter plot between liabilities and assets, bothexpressed in millions. i. Critically assess this scatter plot explaining about the relationship betweentwo variables.ii. A researcher claims that the correlation is showing that changes in assetscause changes in liabilities. Is he right or wrong? Explain your answer.
A used car company believes that there is a relationship between the amount spent on advertising and its sales. Data collected for 6 years are as follow: Amount spent on advertising Sales ($thousands) ($millions) 2.0 1 3.0 3 2.5 4 2.0 2 2.0 1 3.5 7 1. Illustrate the above on a scatter plot.
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Correct Construct a histogram that represents the following data regarding the selling prices of houšes sold in 2006 for a particular neighborhood. Prices of Houses Class Frequency 99630-119629 119630-139629 4 139630-159629 159630-179629 3. 179630-199629 8. Step 2 of 5: Find the upper class. boundary for the third class.
Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southern U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow. Market Mobile Shreveport Jackson Birmingham Little Rock Biloxi New Orleans Baton Rouge Weekly Gross Revenue Television Advertising Newspaper Advertising ($100s) 101.3 51.9 74.8 126.2 137.8 101.4 237.8 219.6 ($100s) 5.0 3.0 4.0 4.3 3.6 3.5 5.0 6.9 + (a) Use the data to develop an estimated regression equation with the amount of television advertising as the independent variable. Let x represent the amount of television advertising. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) ŷ ($100s) 1.5 3.0 1.5 4.3 4.0 2.3 8.4 5.8 X Test for a significant relationship between television advertising and weekly…
The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly GrossRevenue($1000s) TelevisonAdvertising($1000s) NewspaperAdvertising($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 Part A: Develop an estimated regression equation with the amount of television advertising as the independent variable. Part B: Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part C: Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case. Part D : Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on newspaper advertising? Please hurry
Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southern U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow. Market Weekly Gross Revenue($100s) Television Advertising($100s) Newspaper Advertising($100s) Mobile 101.3 4.9 1.4 Shreveport 52.9 3.1 3.2 Jackson 75.8 4.2 1.5 Birmingham 127.2 4.5 4.3 Little Rock 137.8 3.6 4 Biloxi 102.4 3.5 2.3 New Orleans 236.8 5 8.4 Baton Rouge 220.6 6.8 5.9 Use the data to develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables.Let x1 represent the amount of television advertising.Let x2 represent the amount of newspaper advertising.If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign…

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The following graph shows the average price of LCD TVs from 2005 until 2010. $1,800 $1,600 $1,400 $1,200 $1,000 $800 $600 $400 $200 $0 2004 2005 2006 2007 2008 2009 2010 2011 Year This graph is an example of a A) histogram. 9 vertical bar chart. B) line chart D) Pareto chart. Average Price