Sam and sadie charge people to park on their lawn while attending a nearby craft fair. at the current price of $10, eight people park on their lawn. if they raise the price to $15, they know that only six people will want to park on their lawn. whether they have eight or six cars parked on their lawn does not affect their costs. from this information it follows that

The cost of capital: introduction the cost of capital: introduction companies issue bonds, preferred stock, and common equity to aise capital to invest in capital budgeting projects. capital is』necessary factor of production and like any other factor, it has a cost. this cost is equal to the select the applicable security. the rates of return that investors require on bonds, preferred stocks, and common equity represent the costs of those securities to the firm. companies estimate the required returns on their securities, calculate a weighted average of the costs of their different types of capital, and use this average cost for capital budgeting purposes. required return on rate: when calculating om operations when the firm's primary financial objective is to select shareholder value. to do this, companies invest in projects that earnselect their cost of capital. so, the cost of capital is often referred to as the -select -select and accruals, which a se spontaneously we hted average cost of capital wa c our concern is with capital that must be provided by select- 쑤 interest-bearing debt preferred stock and common equity. capital budgeting projects are undertaken, are not included as part of total invested capital because they do not come directly from investors. which of the following would be included in the caculation of total invested capital? choose the response that is most correct a. notes payable b. taxes payable c retained earnings d. responses a and c would be included in the calculation of total invested capital. e. none of the above would be included in the cakulation of total invested capital.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]

Four key marketing decision variables are price (p), advertising (a), transportation (t), and product quality (q). consumer demand (d) is influenced by these variables. the simplest model for describing demand in terms of these variables is: d = k – pp + aa + tt + qq where k, p, a, t, and q are constants. discuss the assumptions of this model. specifically, how does each variable affect demand? how do the variables influence each other? what limitations might this model have? how can it be improved?