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- Provide detailed answersWhat is the defination of: leading indicator, coincident indicator, and lagging indicator? Provide 2 examples of each leading, coincident and lagging indicatorVariables typically included in a multivariate demand function (other than the price and quantity of the item the demand function represents) are consumer tastes and preferences, the number of buyers, spendable (disposable) income, prices of substitute goods, prices of complementary goods, advertising expenditures, weather, and expectations. Recalling that the price of the item being considered is placed on the vertical axis, and the quantity on the horizontal axis, the other variables are termed demand shifters. Please answer the following questions about the affect changes in other variables might have on the demand for the item. These changes will either cause demand to increase (shift right) or decrease (shift left). Use either word as applicable, for the short answer. If the price of a good increases because the demand for it increases, What would you expect the demand for its complement to do? If the demand for coffee beans increases, then what is likely to happen…
- Lactose intolerance causes difficulty digesting dairy products that contain lactose (milk sugar). It is particularly common among people of African and Asian ancestry. In the United States, 82 % of the population is white, 14 % is black, and 4 % is Asian. Moreover, 15 % of whites, 70 % of blacks, and 90 % of Asians are lactose intolerant.. What percent of the entire population is lactose intolerant?Question asked in two parts. Please help with the bolded questions. The demand for a commodity is given by Q = β0 + β1P + u, where Q denotes quantity, P denotes price, and u denotes factors other than price that determine demand. Supply for the commodity is given by Q = g0 + g1P + v, where v denotes factors other than price that determine supply. Suppose u and v both have a mean of 0, have standard deviations su and sv, respectively, and are mutually uncorrelated.a) Solve the two simultaneous equations to show how Q and P depend on u and v.b) Derive the means of P and Q.c) Derive the variance of P, the variance of Q, and the covariance between Q and P.d) A random sample of observations of (Qi, Pi) is collected, and Q is regressed on Pi. (Thatis, Qi is the regressand, and Pi is the regressor.) Suppose the sample is very largei) Use your answers to (b) and (c) to derive values of the regression coefficient.[Hint: Use Equations (4.7) and (4.8) in Stock and Watson’s book.]ii) A researcher…Explain incorrect answer as well
- Correlation between X and Y can only be interpreted as a causal relationship of X and Y if: Select one: a. Y is unaffected by any variable that is correlated with X b. Y is an affected by any variable other than X c. Both A and B d. Y is unaffected by X in a linear wayDivergence happens when the price of an asset and the indicator moves to same directionshello, please help, I know for sure that answer " left; decrease" is wrong