Answer the following questions using the information below:Berman's Camera Shop has prepared the following flexible budget for September and is in the processof interpreting the variances. F denotes a favorable variance and U denotes an unfavorable variance. Flexible VariancesBudget Price EfficiencyMaterial A $40,000 $1,000F $3,000UMaterial B 60,000 500U 1,500FDirect manufacturing labor80,000 500U 2,500FThe most likely explanation of the above variances for Material A is that. A) a lower price than expected was paid for Material AB) higher-quality raw materials were used than were plannedC) the company used a higher-priced supplierD) Material A used during September was $2,000 less than expected A

Suppose the marginal damage and marginal benefit curves in a polluted neighborhood are md = p/3 and mb = 4 – p. also, suppose that transactions costs are low, so that the consumers and the firm can bargain. we saw that in this case, the socially-optimal level of pollution is achieved. start by computing the socially-optimal p. then, for each of the following cases, compute the amount of money transferred through the bargaining process, and indicate who pays whom (i.e., whether consumers pay the firm, or vice versa). also, compute the gains to each party relative to the status quo (i.e., the starting point of the bargaining process).a)consumers have the right to clean air; firm is dominant in the bargaining process.b)consumers have the right to clean air; consumers are dominant in the bargaining process.c)firm has the right to pollute; firm is dominant in the bargaining process.d)firm has the right to pollute; consumers are dominant in the bargaining proces

Boone brothers remodels homes and replaces windows. ace builders constructs new homes. if boone brothers considers expanding into new home construction, it should evaluate the expansion project using which one of the following as the required return for the project?

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.