In the 1920s, many investors bought stocks on margin—that is, with borrowed funds. a. true b. false

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 .

Which law would encourage more people to become homeowners but not encourage risky loans that could end in foreclosure? options: offering first time homebuyers tax-free accounts to save for down payments requiring all mortgages to be more affordable, interest-only loans outlawing home inspections and appraisals by mortgage companies limiting rent increases to less than 2% a year

In each of the following cases, find the unknown variable. ignore taxes. (do not round intermediate calculations and round your answers to the nearest whole number, e.g., 32.) accounting unit price unit variable cost fixed costs depreciation break-even 20,500 $ 44 $ 24 $ 275,000 $ 133,500 44 4,400,000 940,000 8,000 75 320,000 80,000