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)
He was supposed to keep 10%.
The 10% share was one of the columbus demand' when both columbus and the crown agreed to the terms for his voyage fundinsg.
But, since <span>he had been relieved of his duties as governor, the Crown no longer feel obligated to honour the term of the contract.</span>
Answer:
The corrects answers for this would be A and C.
Explanation:
As you can see, for both a and c, those are the only two answers that have a negative outcome, hence the negative externality.
Answer:
Variable cost per unit= $7.2 per unit
Explanation:
Giving the following information:
Month Total Maintenance Costs Total Machine Hours
January: $2,590 - 330
February: $2,890 - 380
March: $3,490 - 530
April: $4,390 - 660
May: $3,090 - 530
June: $5,470 - 730
To calculate the variable cost under the high-low method, we need to use the following formula:
Variable cost per unit= (Highest activity cost - Lowest activity cost)/ (Highest activity units - Lowest activity units)
Variable cost per unit= (5,470 - 2,590) / (730 - 330)
Variable cost per unit= $7.2 per unit
