Anna elleson has just opened her plumbing business in a small industrial park located within the boundaries of the city of tempe, arizona. upon opening her plumbing business, anna receives a notice from the landlord that her largest pieces of equipment (backhoes) may not be parked in the parking lot of the industrial park overnight. anna asks why and the landlord explains that there is a restriction in her lease. the restriction against parking equipment in the complex is:

8. agreement and disagreement among economists suppose that bob, an economist from a university in arizona, and cho, an economist from a public television program, are arguing over saving incentives. the following dialogue shows an excerpt from their debate: cho: i think it's safe to say that, in general, the savings rate of households in today's economy is much lower than it really needs to be to sustain an improvement in living standards. bob: i think a switch from the income tax to a consumption tax would bring growth in living standards. cho: you really think households would change their saving behavior enough in response to this to make a difference? because i don't. the disagreement between these economists is most likely due to . despite their differences, with which proposition are two economists chosen at random most likely to agree? rent ceilings reduce the quantity and quality of available housing. immigrants receive more in government benefits than they contribute in taxes. having a single income tax rate would improve economic performance.

Which type of data is generally stored in different file formats, such as text files, spreadsheets, and so on?

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 .