Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is ŷ=3.38+0.15x. Theater revenue, x (in millions of dollars) Rental revenue, y (in millions of dollars) 21.0 5.5 60.9 10.0 61.0 16.0 27.5 3.1 36.7 12.7 30.6 5.7 14.8 2.0 49.6 15.7 13.1 10.2 25.9 8.9 44.1 6.5 66.9 9.5 27.5 11.8 24.9 7.9 6.9 1.5 Send data to calculator Send data to Excel Rental revenue (in millions of dollars) 18- 16+ x 14 12 10+ x 50 60 70 Theater revenue (in millions of dollars) Based on the studio's data and the regression line, answer the following. What was the observed rental revenue (in millions of dollars) when the theater revenue was 36.7 million dollars? From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 36.7 million dollars? Round your answer to one or more decimal places.

Consider the following data. −1,2,2,−4,−4,−1−1,2,2,−4,−4,−1 Determine the mean of the given data.

The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes​ (BMI) for beauty pageant winners from two different time periods.  Find the coefficient of variation for each of the two sets of​ data, then compare the variation.                       The coefficient of variation for the​ BMI's of beauty pageant winners from the 1920s and 1930s is  %

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 77 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+ 20+ 15+ 10+ 5- ← 10 20 30 40 50 60 70 80 90 100 City A mean: 73.96 thousand dollars City A standard deviation: 20.30 thousand dollars Explanation 25- 20- 15- 104 5+ 10 (a) Identify the data set for which it is appropriate to use the Empirical Rule. It is appropriate to use the Empirical Rule for the (Choose one) ▼ data set. 20 30 The committee wants to use the Empirical Rule to make some…

A back-to-back stem-and-leaf plot compares two data sets by using the same stems for each data set. Leaves for the first data set are on one side while leaves for the second data set are on the other side. The back-to-back stem- and-leaf plot available below shows the salaries (in thousands) of all lawyers at two small law firms. Complete parts (a) and (b) below. Click the icon to view the back-to-back stem-and-leaf plot. (a) What are the lowest and highest salaries at Law Firm A? at Law Firm B? How many lawyers are in each firm? At Law Firm A the lowest salary was $ At Law Firm B the lowest salary was $ and the highest salary was $ and the highest salary was $