1. choose an appropriate model to determine if there is family income (i. e., familyincome in the data set) difference among different types of families (i. e., familytype in the data set) in the state of new york? 2. choose an appropriate model to determine if there is family income (familyincome) difference between families with kids and families without kids? (note: there is currently no column holding data about whether a family has kids. you may want to use the with() function in r to create a new column to hold the binary answers.)3. choose an appropriate model, and use familyincome, numchildren, numpeople, numworkers to predict the likelihood that a family is living on foodstamp.

Alocation analysis has been narrowed down to two locations, akron and boston. the main factors in the decision will be the supply of raw materials, which has a weight of .50, transportation cost, which has a weight of .40, and labor cost, which has a weight of .10. the scores for raw materials, transportation, and labor are for akron 60, 80, and 70, respectively; for boston 70, 50, and 90, respectively. given this information and a minimum acceptable composite score of 75, we can say that the manager should:

Select the statement that indicates tina's company is a partnership. tina jones is a dancer specializing in latin dance styles. she always wanted to have her own dance studio where she could teach dancing to young and old alike. in 2006, she opened her first dance studio, electric diva, in madison triangle. it was a great choice as a business location because it's well-connected by highways to most places in the city. she leased the space for three years. her initial investment included a good sound system, cheerful interior design, and strong flooring. to raise capital for the business, tina turned to her brother-in-law, philip. philip made half the financial investment. he manages the accounts and social media needs of the business. he has a 30% share in trisha's business. together, they expanded the business to three dance studios in the city and plan to open franchises in other cities.

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $