What is the defination of: leading indicator, coincident indicator, and lagging indicator? Provide 2 examples of each leading, coincident and lagging indicator
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What is the defination of: leading indicator, coincident indicator, and lagging indicator? Provide 2 examples of each leading, coincident and lagging indicator
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- b) What is the defination of: leading indicator, coincident indicator, and lagging indicator? Provide 2 examples of each leading, coincident and lagging indicatorGg.40.Question 19 An economist wants to estimate the relationship between earnings (in thousands of dollars) and years of education. She estimates the model Earnings BO+B1 *Education + E. The following is a portion of her results. Coefficient Standard Error Intercept 15.77 Education 4.21 Which of the following is true? 3.8 1.4 p-value 0.003 0.032 O If education is increased by one year, we predict that earnings will increase by $4,210. O If earnings are increased by $1000, we predict that education will increase by 21 O If education is increased by one year, we predict that earnings will increase by $3200. O If earnings are increased by $1000, we predict that education will increase by .032 years,
- What is differance between three sector ecnomoy and four sector ecnomoyYou are an analyst. Your friend started a new business of selling masks. She knows that you have adequate knowledge of economics and business, and hence, asked for your help in making some important business decisions. From the data obtained from her, you computed the Price Elasticity of Demand (PED) of Masks, and found PED in February was 1.8 (absolute value), and PED of Masks in April was 0.7 (absolute value). (a) What type of good mask is in the month of April in terms of elasticity? (b) The market price of the mask in June was 10 taka per unit and revenue earned in June was 150 taka. How many masks were sold in June? (c) In 2(b), you found the quantity demanded masks in June. You received the data for August and observed that the price in August was 25 per unit and the quantity demanded of masks in August is 7. Calculate the Price Elasticity of Demand (PED) for masks from June to August.18. Car and Taxi Ages When the author visited Dublin, Ireland (home of Guinness Breweryemployee William Gosset, who first developed the t distribution), he recorded the ages of randomlyselected passenger cars and randomly selected taxis. The ages can be found from thelicense plates. (There is no end to the fun of traveling with the author.) The ages (in years) arelisted below. We might expect that taxis would be newer, so test the claim that the mean age ofcars is greater than the mean age of taxis.
- O Macmillan Learning A study is designed to examine the relationship between employees' job satisfaction and the amount of sleep they get. Think about creating a data set for this study. Assume that job satisfaction is measured by a scale of 1 (very dissatisfied) to 5 (very satisfied). Cases: Label Variable(s): Quantitative Variable(s): Categorical Variable(s): Explanatory Variable(s): Response Variable(s): Employee's name Answer Bank Job satisfaction Employees Amount of sleepWhat is Heteroscedastic? And is there a way to fix data in case of heteroscedasticity presence ?What is compensating variation? What is equivalent variation? Explain the relationships between these two variations. Use an example to illustrate when you would use one type of variation over another, or, alternatively, argue that using either variation in all cases is equally relevant, whichever you feel is more appropriate. Use clearly labelled graphs to illustrate your explanations. 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.
- Similar to previous health pandemics, at the outset of the COVID-19 pandemic the demand for protective goods such as masks, gloves and sanitisers increased markedly around the globe resulting in retailers making super profits. In addition, the sales of personal protective equipment (PPE), cleaning and fumigation contractors surged up as their demand increased. According to data released by Monfils LLC, an international research firm based in the Italy, face mask sales grew by a year-on-year increase of 400% in April 2020. However, in December of 2020, the price of face masks fully retraced back to its pre-COVID-19 level.1.1 With the aid of diagrams, evaluate the change in the market structure between March 2020 and December 2020 as well as other factors that could have influenced the price increase of face masks in March 2020.1.2 Critically discuss how price elasticity of demand of face masks was affected, including its impact on revenue at the outset of the pandemic relative to later…QUESTION 7 Which is NOT true about the coefficient of determination? As you add more variables, the R-square generally rises. As you add more variables, the adjusted R-square can fall. If the R-square is above 50%, the regression is considered significant. The R-square gives the percent of the variation in the dependent variable that is explained by the independent variables. The higher is the R-square, the better is the fit.Pls answer to below homework question.