Answer:
Taking $1 from Carl and giving it to Andy would increase society's total utility.
Explanation:
Since Andy's income is less than other three people when a $1 taken from Carl would increase Andy's utility more than the loss in utility of Carl. Thats why total utility would increase.
Answer:
To find Earning per share, we can find this by the following formula:
Increase in Earnings Per Share = Net profit of new products / Number of shares
and
Net Profit of new products = 5% * $4,898,300 = $244,915
Increase in Earnings Per Share = ($244,915) / 1,456,800 = 16.81%
Idk never heard of this before
Answer: Statement that “There is no need to evaluate mutual fund investments because investment companies hire the best professional managers they can to manage their funds “ is FALSE
A mutual fund is a pool of stocks, bonds or other funds where an investor purchase his shares. He gets one to meet his investment goals so evaluating a mutual fund's performance is needed and must involve thorough research to lessen risk.
Professional fund managers do make mistakes, so it is a must that investors continually evaluate their mutual fund investments.
Answer:
Larger-sq and small Se.
Explanation:
Regression line is a line that clearly describes the behavior of a given set of data.
Regression lines are very essential for forecasting processes. The importance of the line is to describe the interrelation of a dependent variable (Y variable) with one or many independent variables (X variable).
An analyst can forecast future behaviors of the dependent variable by making use of the equation gotten the regression line. This is done by inputting different values for the independent ones. Regression lines are frequently employed in the financial sector.
Financial analysts make use of linear regressions to forecast stock prices, commodity prices and also to carry out valuations for many different securities. Companies use regressions for the purpose of forecasting sales, inventories and a lot of other variables that are needed for strategy and planning. The regression line formula is represented below:
(Y = a + bX + u)