According to the following given information how to determine: Production 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Times (months) product of 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 (Z unit) A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing?
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- According to the following given information how to determine: Production Times (months) 1 9 10 11 12 13 14 15 product of 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 (Z unit) A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing? C) Justify your final answer for each line of production.The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 40- 20+ 2000 5000 2855 3050 3810 3985 4250 2275 3525 33 32 27 24 22 39 28 Weight (lb) Q Q O B. 40 20+ 2000 AHH 5000 Weight (lb) Q Q Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage decreases. O C. Yes, as the weight increases the highway mileage increases. OD. No there appears to be no relationshin C O C. Q 40- M Q 20++ 2000 5000 Weight (lb) Highway ( O D. Highway (mpg) 40- 20+ 2000 5000 Weight (lb) Q1. Solve the following problem by using Excel for graph sketching. A soda vendor at Louisiana State University football games observes that more sodas are sold the warmer the temperature at game time is. Based on 32 home games covering five years, the vendor estimates the relationship between soda sales and temperature to be y = -240 + 8x, where y = the number of sodas she sells and .x = temperature in degrees Fahrenheit, (a) Interpret the estimated slope and intercept. Do the estimates make sense? Why, or why not? (b) On a day when the temperature at game time is forecast to be 80°F, predict how many sodas the vendor will sell. (c) Below what temperature are the predicted sales zero? (d) Sketch a graph of the estimated regression line.
- Erin grows pecans. The number of bushels (B) that she can produce depends on the number of inches of rainfall (R) that her orchards get. The relationship is given algebraically as follows: B = 3,000 + 800R. Match each part of this equation with the correct term. B slope 3,000 dependent variable 800 vertical intercept R independent variableZeitler’s Department Stores sells its products online and through traditional brick-andmortarstores. The following parallel coordinates plot displays data from a sample of20 customers who purchased clothing from Zeitler’s either online or in-store. The datainclude variables for the customer’s age, annual income, and the distance from the customer’shome to the nearest Zeitler’s store. According to the parallel coordinates plot, howare online customers differentiated from in-store customers?An economic researcher has been asked to determine the relationship between a proposed local sales tax on beef and local tax revenues. He has estimated that the maximum tax revenue will occur at a tax rate of 6%, which will yield tax revenues of $5,000. Using the 3-point curved line drawing tool, show the approximate relationship between tax rates and tax revenues, as based on this research. Label the curve 'Laffer'. Carefully follow the instructions above, and only draw the required objects. Tax Revenues (thousands) 10₁ 9- 1- 0- 0 1 2 3 4 5 6 7 Sales Tax Rate (%) 8 9 10
- The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage 55 59 60 60 62 Interception Percentage 4.5 4.2 3.5 2.9 1.4 Table Copy Data Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values bo = 26.9386 and b₁ = -0.3993 for the calculations. Round your answer to three decimal places. Answer How to enter your answer (opens in new window) Tables Keypad Keyboard ShortcuFor each of the following variables, determine whether the variable is categorical or numerical. If the variable is numerical, determine whether the variable is discrete or continuous. In addition, determine the measurement scale. a. Time, in hours, spent working per month b. Name of a household's cable television provider c. Number of online purchases made in a month d. Satisfaction rating of a cable television provider (from low to high) e. Time, in hours, spent surfing the Internet per month a. Time, in hours, spent working per month is what kind of variable? O A. This variable is a continuous numerical variable that is ratio-scaled. O B. This variable is a discrete numerical variable that is ratio-scaled. OC. This variable is a discrete numerical variable that is interval-scaled. O D. This variable is a categorical variable that is ordinal-scaled. O E. This variable is a categorical variable that is nominal-scaled. O F. This variable is a continuous numerical variable that is…The following graph contains four lines (A, B, C and D), each of which has a slope that is either positive, negative, zero, or infinite. Y-axisX-axisBDCA For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Scenario Relationship Line As the temperature rises, the demand for ice-cream rises. Negative As the temperature rises, the demand for hot cocoa falls. Positive As the temperature falls, the demand for popsicles falls. Negative True or False: Line B has a slope of infinity.…
- Use graphical method to solve the following LPP: Maximise Z = x +4y Subject to the constraints: x + y < 1 2x + 2y 2 4 *2 0, y 2 0(Ch7) If the mean time between in-flight aircraft engine shutdowns is 12,500 operating hours, what is the 90 percentile on the distribution of the number of hours until the next shutdown? (hint: convert the mean time between events to the mean events per hour λ, then apply inverse exponential) Question 7Select one: a. 20,180 hours b. 18,724 hours c. 23,733 hours d. 28,782 hoursCalculate the percentage change of the variable in each of the following cases. Then calculate the percentage change if the movement is occurring in the opposite direction, with what was the final value now the initial value and vice versa. Now calculate a comparable percentage change using the average of the initial and ending values. Express all three changes in absolute value form without positive or negative signs and as whole numbers (i.e. 67%, not 66.6%). a. A fast-food restaurant, which originally sold hamburgers at a price of $5, increases their price to $6. The absolute value of this percentage change is %, and the absolute value of the percentage change calculated using the average of the two values is %, the absolute value of the percentage change in the opposite direction is %. b. The number of autos sold monthly at a car dealership drops from 400 to 300. The absolute value of this percentage change is %, the absolute value of the percentage change in the opposite direction…