Data is used by an online business to predict sales from each customer segment. A model is constructed that uses two quantitative predictor variables and the categorical variable Customer Segment (which can either be Corporate, Nonprofit, or Consumer). The p-values for all coefficients in the model are less than 0.01.
Outcome variable: monthly sales within a segment, in dollars Predictor variables: ·
Marketing budget: budget, in dollars, spent on marketing ·
Coupon Discount: percentage discount from overall transaction (each coupon discount promotion lasts one month) ·
Corporate: Dummy variable, equals 1 for purchases by the corporate segment, and 0 for all other segments
Nonprofit: Dummy variable, equals 1 for purchases by the nonprofit segment, and 0 for all other segments ·
Consumer: Dummy variable, not included in the model
Sales = $5,000 + 1.4*(marketing budget) + $900*(coupon discount) + $15,000*(corporate) + $3,000*(nonprofit) What is the projected sales from the nonprofit segment when the marketing budget is $15,000 and the coupon discount is 5 percent?
Need to know which one:
$30,500
$33,500
$48,500
$45,500
projected sales = $5,000 + 1.4*(marketing budget) + $900*(coupon discount) + $15,000*(corporate) + $3,000*(nonprofit)
= $5,000 + 1.4*15000+ $900*5+ $15,000*0+ $3,000*1 = $33500
Data is used by an online business to predict sales from each customer segment. A model...
Data is used by a very small online business to predict sales. This model has been reduced so that all p-values are less than 0.05. Outcome variable: monthly revenue, in dollars Predictor variables: · Holiday Season: dummy variable. Holiday season = 1 for November and December, and 0 for all other months · Marketing budget = budget, in dollars, spent on marketing (Projected monthly revenue) = 1,000 + 2,000*(Holiday Season) + 1.2*(marketing budget) + 0.5*(marketing budget)*(Holiday Season) Would we consider...
Data is used by a very small online business to predict sales. This model has been reduced so that all p-values are less than 0.05. Outcome variable: monthly revenue, in dollars Predictor variables: · Holiday Season: dummy variable. Holiday season = 1 for November and December, and 0 for all other months · Marketing budget = budget, in dollars, spent on marketing (Projected monthly revenue) = 1,000 + 2,000*(Holiday Season) + 1.2*(marketing budget) + 0.5*(marketing budget)*(Holiday Season) What is the...
by using this business model canvas , assume all costs
and prices and all the numbers in this business to make it a
successful business, then prepare all revelent budget .
this all information i have , i want to create all
budgets related to this business
this is managerial accounting
Version: Company name FARMOLO Name of product Organic meat Date: 3/10/2019 Business Model Canvas Key Partners Organic food suppliers Medical communities Marketing agencies Organic food organizations Advertisment Key Activities...
Which two phrases represent the views of globalization? Choose two answers. A pendulum that swings from one extreme to another A competition among key financial centers and markets A continuing force sweeping through the world An unplanned result of corporate responses to a variety of opportunities A trading of goods and services between the most and least regulated countries What are two trade barriers? Choose two answers. Nontariffs Foreign languages The ocean Tariffs Shipping What is the effect of tariff...
JOHNSON & JOHNSON AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF EARNINGS (Dollars and Shares in Millions Except Per Share Amounts) (Note 1)* 2016 71,890 21,789 50.101 20,067 9.143 29 Sales to customers Cost of products sold Gross profit Selling, marketing and administrative expenses Research and development expense In-process research and development Interest income Interest expense, net of portion capitalized (Note 4) Other (income) expense, net Restructuring (Note 22) Eamings before provision for taxes on income Provision for taxes on income (Note 8)...
JOHNSON & JOHNSON AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF EARNINGS (Dollars and Shares in Millions Except Per Share Amounts) (Note 1)* 2016 71,890 21,789 50.101 20,067 9.143 29 Sales to customers Cost of products sold Gross profit Selling, marketing and administrative expenses Research and development expense In-process research and development Interest income Interest expense, net of portion capitalized (Note 4) Other (income) expense, net Restructuring (Note 22) Eamings before provision for taxes on income Provision for taxes on income (Note 8)...
JOHNSON & JOHNSON AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF EARNINGS (Dollars and Shares in Millions Except Per Share Amounts) (Note 1)* 2016 71,890 21,789 50.101 20,067 9.143 29 Sales to customers Cost of products sold Gross profit Selling, marketing and administrative expenses Research and development expense In-process research and development Interest income Interest expense, net of portion capitalized (Note 4) Other (income) expense, net Restructuring (Note 22) Eamings before provision for taxes on income Provision for taxes on income (Note 8)...
JOHNSON & JOHNSON AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF EARNINGS (Dollars and Shares in Millions Except Per Share Amounts) (Note 1)* 2016 71,890 21,789 50.101 20,067 9.143 29 Sales to customers Cost of products sold Gross profit Selling, marketing and administrative expenses Research and development expense In-process research and development Interest income Interest expense, net of portion capitalized (Note 4) Other (income) expense, net Restructuring (Note 22) Eamings before provision for taxes on income Provision for taxes on income (Note 8)...
JOHNSON & JOHNSON AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF EARNINGS (Dollars and Shares in Millions Except Per Share Amounts) (Note 1)* 2016 71,890 21,789 50.101 20,067 9.143 29 Sales to customers Cost of products sold Gross profit Selling, marketing and administrative expenses Research and development expense In-process research and development Interest income Interest expense, net of portion capitalized (Note 4) Other (income) expense, net Restructuring (Note 22) Eamings before provision for taxes on income Provision for taxes on income (Note 8)...
What should Ajanta do about its recent order from SF?
AJANTA PACKAGING: KEY ACCOUNT MANAGEMENT Sandeep Puri and Rakesh Singh wrote this case solely to provide material for class discussion. The authors do not intend to iustrate either effective or ineffective handling of a managerial situation. The authors may have disguised certain names and other identifying information to protect confidentiality This publication may not be transmitted, photocopied, digitized, or otherwise reproduced in any form or by any means without the...