The questions are based on the following diagram: Percentage changes 35 30 25 20 15 10 5 0 0 1 2 3 4 5 6 Year --Variable 1 -Variable 2 --Variable 3 a. A decrease in variable 3 will cause a decrease in variable 2. b. An increase in variable 1 will cause a decrease in variable 2. c. An increase in variable 2 will cause an increase in variable 1. d. A decrease in variable 1 will cause an increase in variables 2 and 3. e. None of the above statements are correct.
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- Q5. Make a hypothetical data table and try to make interrelationships between AC, MC and AVC for ten observations. Keep in mind the trend of certain variables. Support Your answer with the help of correct graphs and their respective interpretations like Q TFC TVC TC ATC AVC AFC MC 1 2 3 4 And So onCome up with two variables that, in your view, are related, indicate the name of these variables as well as why these variables are related; determine which variable is the dependent variable and which one is the independent variable. Draw a line graph by hand, labeling the vertical and horizontal axis consistent with your choice of variables. The line in the line graph has to represent, what, in your view, is the relationship between the two variables. Describe your graph verbally in your post (no need to upload the graph itself). Note:- • Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. • Answer completely. • You will get up vote for sure.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.…
- Economics explain both figures individually and under seperate heading. mention what is happeninh in both the graphs and why there is shift in the curves. how the curves effect the variables mentioned in x and y axis. give a detailed explaination and step wise.Q2. a. What is the law of demand? Give two examples of how you have observed the law of demand at work in the “real world.” How is the law of demand related to the demand curve?b. What variables influence the demand for a normal good? Explain why a reduction in the price of a normal good does not increase the demand for that good.Q4. What is econometric forecasting? If econometrics forecasting is considered the bestforecasting technique, what usefulness remains over other forecasting techniquesIdentification. Answer the following questions below. QUESTIONS: 1.) What is the statistical technique for finding the best relationship between dependent variable and selected dependent variable or variables? 2.) What is the increase in output that results from an increase in all of a firm’s outputs by some proportions? 3.) What production function are the 3 stages of production applicable? 4.) What stage of production is the increase in output that results from increase in a firm's outputs by some proportion? 5.) In long run production, a change in output necessitates the what?
- Make a qualitative title.(any topics will do and define its dependent and independent variable)In the equation S = 130 – 2T, where S is hot chocolate sales and T is temperature, sales _____ if temperature increases by 10 degrees. A. increase by 20 B. decrease by 20 C. increase by 2 D. decrease by 2(1) Recent measurements have shown a significant deterioration in the quality of the Scottish seaside. Which of the following statements are compatible with this observation? A. The real value of GDP has increasedB. The real value of GDP remains the same C. North Sea oil wells have dried upD. The price of swimming costumes has gone down (2) The impact of Covid-19 on happiness is negative because A. it decreased economic activityB. it coincided with BrexitC. it forced social isolationD. it obliged people to develop new Information Technology skills(i) A is correct(ii) A and B are correct(iii) A and C are correct(iv) All of the above are correct
- The variable shown on the vertical axis is _________ . The units for the variable on the horizontal axis are __________ . There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a car, and second, it tells us the probable income of a person who spent a certain amount on a car. For example, if an individual earned $40,000 last year and purchased a new car, you would expect that person to have paid about _________ for the car. Similarly, if someone just paid $25,000 for a car, you could use this graph to estimate that this person's income was probably around __________ .Graph and label as either direct or indirect the relationships you would expect to find between (a) the number of inches of rainfal per month and the sale of umbrellas, (b) the amount of tuition and the level of enrollment at a university, and (c) the popularity of an entertainer and the price of her concert tickets.3. Rubax, a U.S. manufacturer of athletic shoes, estimates the following linear trend model for shoe sales: Qt = a+bt+c1D1+c2D2+c3D3Where, Qt = sales of athletic shoes in the t-th quartert = 1, 2, . . . . , 28 [2011(I), 2011(II), . . . . , 2017(IV)]D1 = 1 if t is quarter I (winter); 0 otherwiseD2 = 1 if t is quarter II (spring); 0 otherwiseD3 = 1 if t is quarter III (summer); 0 otherwiseThe regression analysis produces the following results: Is there sufficient statistical evidence of an upward trend in shoe sales? explain Do these data indicate a statistically significant seasonal pattern of sales for Rubax shoes? If so, what is the seasonal pattern exhibited by the data? Using the estimated forecast equation, forecast sales of Rubax shoes for 2018(III) and 2019(II).