Advertising Year Expenditure Membership Year $ (000) Subscriptions 2013 51 62 2014 58 68 2015 62 66 2016 65 66 2017 68 67 2018 76 72 2019 77 73 2020 78 72 2021 78 78 2022 84 73 2023 85 76   Plot the scatter graph for the data. Use the data, to develop a regression equation relating advertising expenditure to membership. Estimate the membership if $40,000 is spent on advertising. How much must be spent on advertising to obtain a membership of 80 (000)? What is the nature of the relationship between advertising expenditure and membership? Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method. What are the limitations of the method used in (1)

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Annual Revenue million of dollars Franchise value of dollars   244 486     154 237     206 439     171 165     202 330     248 636     241 478     257 656     189 330     247 589     235 428     259 635     164 174     178 190     243 630     Dialog content ends PrintDone         The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated.      b. Use the​ least-squares method to determine the regression coefficients b0 and b1.   b0 = enter your response here b1 = enter your response here     ​(Round to two decimal places as​ needed.)

The final grade in a particular course is determined by grades on the midterm and final. The grades for five students and the two grading systems are modeled by the following matrices. Call the first matrix A and the second B. Complete parts (a) and (b). Click to view the matrices. a. Describe the grading system that is represented by matrix B. Grading system 1 assigns 50% of the final grade to the midterm and 50% of the final grade to the final. Grading system 2 assigns 20% of the final grade to the midterm and 80% of the final grade to the final. b. Compute the matrix AB and assign each of the five students a final course grade first using system 1 and then using system 2. (89.5-100=A, 79.5-89.4 = B, 69.5-79.4 = C, 59.5-69.4D, below 59.5 = F) Grade System 1 System 2 ... Student 1 Student 2 Student 3 Student 4 Student 5 (Type A, B, C, D, or F.)

Take a look at this reference sheet: http://bit.ly/2yGbKiB The scatter plot shows the number of hits and number of home runs for $$20 baseball players who had at least $$10 hits last season. The table shows the values for $$15 of those players. The model represented by y=0.15x−1.5 is graphed with the scatter plot. Player B was the player who most outperformed the prediction. How many hits did Player B have last season?

ENERGY (KILOWATT-HOURS) 600 500 400 300 200 400 420 370 0 JAN FEB MAR APR MAY 320 310 330 MONTH -380- JUN JUL AUG SEP 400 420 NOV 580 DEC The line graph shows the monthly consumption of energy in kilowatt-hours for a house during a one-year period. Find the total amount of energy consumed during the year.

Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $105 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 41 23 114 75 78 47 120 64 10 59 127 22 12 150 2 0 127 18 111 65 113 112 102 94 64 98 211 41 22 288 57 Click the icon to view the critical values of the Pearson correlation coefficient r. ..... x. (Round to one decimal place as needed.) The regression equation is = + The best predicted gross for a movie with a $105 million budget is $ million. (Round to one decimal place as needed.)

+ Automatic Zoom Weight (tons) 70 60 50 40 30 ROSA200 16, 17, 10 20 40 60 80 100 Length (feet) X4 Which statement accurately describes the information in the scatter plot? A. The information shows a positive correlation. The weight of a dinosaur tends to increase according to its length. B. The information shows a negative correlation. The weight of a dinosaur tends to decrease according to its length. C. The information shows no correlation. The weight and length vary according to the type of dinosaur. D. The information shows no correlation. The relationship between the weight and length of a dinosaur is uncertain. Book Page 182-183

The director of surgery at a local hospital is interested in understanding his unit’s costs. An assistant collected data for the past 36 months on unit cost (labor, supplies, and so on) along with the number of procedures performed in the unit. The assistant analyzed the data using a spreadsheet program, and the following output was generated. Equation     Intercept                                                         $  1,006,000       Coefficient on procedures                         $              230 Statistical data        Correlation coefficient                                             0.518        R2                                                                                 0.268     The unit is planning to perform an average 18,5000 procedures per month for the coming year.   Required A: Use the regression output to write the surgical unit cost equation.   Surgical unit cost   = ____________ + __________ x Procedures   Required B: Based on the cost equation,…