•A theater owner agrees to donate a portion of gross ticket sales to a charity

•The program will prompt the user to input:

−Movie name

−Adult ticket price

−Child ticket price

−Number of adult tickets sold

−Number of child tickets sold

−Percentage of gross amount to be donated

•Inputs: movie name, adult and child ticket price, # adult and child tickets sold, and percentage of the gross to be donated

•The program needs to:

1.Get the movie name

2.Get the price of an adult ticket price

3.Get the price of a child ticket price

4.Get the number of adult tickets sold

5.Get the number of child tickets sold

PLEASE USE C++

•A theater owner agrees to donate a portion of gross ticket sales to a charity

•The program will prompt the user to input:

−Movie name

−Adult ticket price

−Child ticket price

−Number of adult tickets sold

−Number of child tickets sold

−Percentage of gross amount to be donated

•Inputs: movie name, adult and child ticket price, # adult and child tickets sold, and percentage of the gross to be donated

•The program needs to:

1.Get the movie name

2.Get the price of an adult ticket price

3.Get the price of a child ticket price

4.Get the number of adult tickets sold

5.Get the number of child tickets sold

Use this data for Questions 20-24

The distance travelled (in hundreds of miles) and sales (in thousands of dollars) for ACME Company are reflected in table below:

1. What is the Coefficient of Determination?
   1. 0.7334
   2. 0.4053
   3. 0.2267
   4. 0.1437

2. What is the Test Statistic for the Correlation Coefficient?
   1. 3.32
   2. 16.15
   3. 1.88
   4. Cannot be computed

3. What is the regression slope?
   1. 1.98
   2. 0.40
   3. 0.71
   4. 0.32

4. What is the regression intercept?
   1. 0.40
   2. 2.41
   3. 3.68
   4. 1.88
5. If a salesman travels 600 miles what is the predicted sales?
   1. $4826
   2. $2105
   3. $3638
   4. $4018

Show all work.

Computers in some vehicles calculate various quantities related to performance. One of these is fuel efficiency, or gas mileage, usually expresses as miles per gallon (mpg). For one vehicle equipped in this way, the miles per gallon were recorded each time the gas tank filled, and the computer was then reset. Here are the mpg values for a random sample of 20 of these records: 41.5 50.7 36.6 37.3 34.2 45.0 48.0 43.2 47.7 42.2 43.2 44.6 48.4 46.4 46.8 39.9 37.3 43.5 44.3 43.3 Find a 95% confidence interval for μ, the mean miles per gallon for this vehicle.

Create a flowchart for the following:

Mr. Arthur Einstein, your college physics teacher, wants a program for English-to-Metric conversions. The program should be able to convert from kilometers to miles, kilograms to pounds, and liters to quarts. The program should first determine the type of conversion desired. To do this, the user will enter a letter indicating the type of measurement: pounds (P), miles (M), and quarts (Q). After doing this, the program should proceed to read the appropriate metric value and convert it to the correct imperial value. Use the following conversion factors:

1 kilometer = 0.621388 miles

1 kilogram = 2.2046 pounds

1 liter = 0.877193 quarts

1. Let us consider again the data from the LaRosa tool bin location problem discussed in Section 14.3.

   1. Suppose we know the average number of daily trips made to the tool bin from each production station. The average number of trips per day are 12 for fabrication, 24 for Paint, 13 for Subassembly 1, 7 for Subassembly 2, and 17 for Assembly. It seems as though we would want the tool bin closer to those stations with high average numbers of trips. Develop a new unconstrained model that minimizes the sum of the demand-weighted distance defined as the product of the demand (measured in number of trips) and the distance to the station.

   2. Solve the model you developed in part (a). Comment on the differences between the unweighted distance solution given in Section 14.3 and the demand-weighted solution.

The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain brand of cigarette. Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it​ best? Is the best regression equation a good regression equation for predicting the nicotine​ content? Why or why​ not?

1. Find the best regression equation for predicting the amount of nicotine in a cigarette. Use predictor variables of tar​ and/or carbon monoxide​ (CO). Select the correct choice and fill in the answer boxes to complete your choice. ​(Round to three decimal places as​ needed.)

A. Nicotine = ____ + (____) CO

B. Nicotine = ____ + (____) Tar

C. Nicotine = ____ + (____) Tar + (____) CO

2. Why is this equation best?

A. It is the best equation of the three because it has the lowest adjusted R2​, the highest​ P-value, and only a single predictor variable.

B. It is the best equation of the three because it has the highest adjusted R2 the lowest​ P-value, and only a single predictor variable.

C. It is the best equation of the three because it has the lowest adjusted R2​, the highest​ P-value, and removing either predictor noticeably decreases the quality of the model.

D. It is the best equation of the three because it has the highest adjusted R2​, the lowest​ P-value, and removing either predictor noticeably decreases the quality of the model.

3. Is the best regression equation a good regression equation for predicting the nicotine​ content? Why or why​ not?

A. ​No, the large​ P-value indicates that the model is not a good fitting model and predictions using the regression equation are unlikely to be accurate.

B. Yes, the small​ P-value indicates that the model is a good fitting model and predictions using the regression equation are likely to be accurate.

C. No, the small​ P-value indicates that the model is not a good fitting model and predictions using the regression equation are unlikely to be accurate.

D. ​Yes, the large​ P-value indicates that the model is a good fitting model and predictions using the regression equation are likely to be accurate.

308 Chapter 11 CASE STUDYCase stUDYCollege and professional sports are economy boosters for their host cities. The stream of revenue to the local economy generated by excited fans comes from the sale of tickets, hotel room rentals, car rentals, restaurant meals served, gasoline sales, park-ing fees, and vendor sales. The sales become even greater when a team is winning.Cities such as Lincoln, Nebraska; Columbus, Ohio; Tallahassee, Florida; and Baton Rouge, Louisiana count on the revenue generated by sell-out crowds during the college football season. Stadiums that hold from 82,000 to 102,000 fans provide an eco-nomic windfall for the college com-munities where they are located.Some fans of professional sports teams, such as the Chicago Cubs and Green Bay Packers, are loyal no mat-ter how well their team is performing. These faithful fans provide a steady flow of revenue to the sports program and surrounding communities.College World Series Wars?Cities that host major sporting events understand the financial benefits. Omaha, Nebraska, appreciates the millions of dollars poured into the city during the annual College World Series. Zesto’s, a popular fast-food restaurant, has truckloads of food rolling in each day to meet the demands of customers from all over the United States.The event has been voted the Best Annual Local Event and ranks as the third-most important state tourist attraction, according to a survey conducted by Omaha Magazine. The revenue from this two-week event has attracted the attention of other cities, such as Oklahoma City, that would like the opportunity to host the event in the future. Economic experts estimate that the College World Series generates more than $40 million for the Omaha economy. It is no wonder that other cities would like to host thisevent.Omaha tore down Rosenblatt Stadium, the former home of the College World Series, to build the new $131-million TD Ameritrade Park Omaha that has 24,505 seats. Omaha must continue to demonstrate top-notch hospitality so that the College World Series event planners continue to choose Omaha as its host city.Think Critically

1. Why is it important for Omaha to continue hosting the College World Series? Consider both financial and nonfinancial benefits.

2. What are some of the greatest sources of revenue for cities that are home to popular college and professional sports teams?

3. How can hosting a major event like the College World Series help a city develop a national image? Explain your answer.

4. List ten good food items for ven-dors to sell at the College World Series

A boat leaves the harbor entrance and travels 27 miles in the direction ??? ° ?. The captain then travels for another 16 miles in the direction ??? ° ?, which is the boat’s final position. How far is the harbor entrance from the boat’s final position? What is the bearing of the boat from the harbor entrance? Round your answers to the nearest WHOLE numbers.