Really need some help here, no links please.

The subject is Economics/Business.

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)? $

Pederson company reported the following: manufacturing costs $480,000 units manufactured 8,000 units sold 7,500 units sold for $90 per unit beginning inventory 2,000 units what is the average manufacturing cost per unit? (round the answer to the nearest dollar.)

Robin hood has hired you as his new strategic consultant to him successfully transform his social change enterprise. robin has told you that he counting on your strategic management knowledge to him and his merrymen achieve their goals. discuss in detail what you think should be robin’s two primary strategic goals and continue by also explaining your analytical reasons that support your recommendations.