An automobile manufacturer produces and sells the energy-saver car in north america. it also produces and sells the smart little car in china. in north america, the mean annual number of energy-saver cars produced over the past decade was 12,100. the variance was 8,100. net revenue for each car sold was $2.1 thousand. (net revenue is price minus unit variable costs.) the annual fixed costs of the north american facilities were $176 thousand (costs of management, buildings, insurance, in china, the mean annual number of smart little cars produced over the past decade was 7,500. the variance was 6,400. net revenue for each car sold was $1.2 thousand. the annual fixed costs of the facility in china were $23 thousand. the covariance between the number of cars produced in north america and the number of cars produced in china was 5,040. use x and y to represent the number of cars produced in north america and the number produced in china, respectively. use prx and pry to represent profits in north america and profits in china, respectively. what is the value of mean profit in north america (mean of prx)?

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .