Explain the factors of production ( rewards for factors of production, the mobility of factors of production- geographical and occupational mobility, causes of changes in the quantity and quality of factors of production) IGCSE CIE ECONOMICS (please help!)

The economic advisor of a large tire store proposes the demand function d(p)equalsstartfraction 1900 over p minus 40 endfraction , where d(p) is the number of tires of one brand and size that can be sold in one day at price p. answer parts (a) through (e) below. a. recalling that the demand must be positive, what is the domain of this function? the domain consists of all possible values of ▼ for which ▼ p d(p) ▼ does not exist. is positive. is zero. is negative. exists.

Ummit record company is negotiating with two banks for a $157,000 loan. fidelity bank requires a compensating balance of 24 percent, discounts the loan, and wants to be paid back in four quarterly payments. southwest bank requires a compensating balance of 12 percent, does not discount the loan, but wants to be paid back in 12 monthly installments. the stated rate for both banks is 9 percent. compensating balances will be subtracted from the $157,000 in determining the available funds in part a. a-1. calculate the effective interest rate for fidelity bank and southwest bank. (do not round intermediate calculations. input your answers as a percent rounded to 2 decimal places.) a-2. which loan should summit accept? southwest bank fidelity bank b. recompute the effective cost of interest, assuming that summit ordinarily maintains $37,680 at each bank in deposits that will serve as compensating balances

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)? $