(a) Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the bottom left corner of the plot and moves upward towards the point (539 , 2400). The points are fairly scattered.   A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 825) and moves upward towards the point (539 , 2300). The points are plotted close together with very little scatter.   A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 2300) and moves down and to the right - initially steep and nearly vertical then curving to be nearly horizontal - to the point (539 , 825). The points are plotted close together with very little scatter.   A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. The points plotted from the horizontal axis values of 110 to 500 are evenly scattered between the vertical axis values of 1030 to 1960. Does it appear that there is any relationship between the two variables? There appears to be  ---Select--- a positive a negative no linear relationship between two variables. (b) What is the sample correlation coefficient? (Round your answer to two decimal places.)   What can you say about the strength of the relationship between Revenue and Value? The sample correlation coefficient indicates  ---Select--- a very strong no a very weak linear relationship between the two variables.

In 2011, there were 3552 deaths from heroin overdose.    What was the % increase in deaths from heroin overdose from 2011 to 2015? What was the % increase per year?

The boxplots show data for state and local community expenditures on hospitals and highways. Hospitals Estimate Q1, Q2, and Q3 for hospital and highway spending. Highways Billions of Dollars

A company's sales in Seattle were $390,000 in 2012, while their sales in Portland were $270,000 for the same year. Complete the following statements:a. Seattle's sales were  % larger than Portland's.b. Portland sales were  % smaller than Seattle's.c. Portland sales were  % of Seattle's.Give answers accurate to at least one decimal place.

According to the United States Department of Agriculture (USDS), people living in the U.S. consumed 211,219,000,000 pounds of dairy in 2018. Of the amount consumed, 12,408,000,000 pounds were in the form of cheese.* Part A: Based on the information above, what percentage of diary consumed in 2018 was from cheese? Round to the nearest tenth of a percent. 58.7% O 17.0% O 5.9% O 2.5% Part B: Of the cheese consumed in 2018, 5,036,000,000 pounds were considered "American cheese," defined by the USDS as Cheddar, Colby, Monterrey, and Jack cheese.* What percentage of dairy consumption was from American cheese? Round to the nearest tenth of a percent. 40.5% 49.1% 02.4% 0 2.3%

What percentage change in the total and Hispanic populations occurred in each state between 2000 and 2010?

Please show steps in Excel. The 32 teams in the National Football League (NFL) are worth, on average, $1.17 billion, 5% more than last year. The datafile NFLTEAMVALUE shows the annual revenue ($millions) and the estimated team value ($ millions) for the 32 NFL teams (Forbes website, February 28, 2014). a.Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis. Does there appear that there is any relationship between the two variables? b. What is the sample correlation coefficient? What can you say about the strength of the relationship between Revenue and Value? Team Revenue ($ millions) Current Value ($ millions) Arizona Cardinals 253 961 Atlanta Falcons 252 933 Baltimore Ravens 292 1,227 Buffalo Bills 256 870 Carolina Panthers 271 1,057 Chicago Bears 298 1,252 Cincinnati Bengals 250 924 Cleveland Browns 264 1,005 Dallas Cowboys 539 2,300 Denver Broncos 283 1,161 Detroit Lions 248 900 Green Bay Packers 282 1,183 Houston…