High income individuals eat out more often, and may thus be impacted to a greater extent by restaurant smoking bans. In this case, the marginal effect of income on number of cigarettes smoked may differ in states with and without smoking bans. Required:
Using a single regression model to run a regression in Stata that allows for this possibility and interpret each coefficient.

Symantec corp., located in cupertino, california, is one of the world's largest producers of security and systems management software. the company's consolidated balance sheets for the 2009 and 2008 fiscal years included the following ($ in thousands): current assets: receivables, less allowances of $21,766 in 2009 and $24,089 in 2008 $ 838,010 $ 758,700 a disclosure note accompanying the financial statements reported the following ($ in thousands): year ended 2009 2008 (in thousands) trade accounts receivable, net: receivables $ 859,776 $ 782,789 less: allowance for doubtful accounts (8,938) (8,990) less: reserve for product returns (12,828) (15,099) trade accounts receivable, net: $ 838,010 $ 758,700 assume that the company reported bad debt expense in 2009 of $2,000 and had products returned for credit totaling $3,230 (sales price). net sales for 2009 were $6,174,800 (all numbers in thousands).required: what is the amount of accounts receivable due from customers at the end of 2009 and 2008? what amount of accounts receivable did symentec write off during 2009? what is the amount of symentec’s gross sales for the 2009 fiscal year? assuming that all sales are made on a credit basis, what is the amount of cash symentec collected from customers during the 2009 fiscal year?

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 .

Wallace company provides the following data for next year: month budgeted sales january $120,000 february 108,000 march 140,000 april 147,000 the gross profit rate is 35% of sales. inventory at the end of december is $29,600 and target ending inventory levels are 10% of next month's sales, stated at cost. what is the amount of purchases budgeted for january?