The data science can alter business resultants with the support of Analytics.
<h3>What is Analytics?</h3>
The systematized combinatorial investigation of the subject matter or applied mathematics is known as analytics.
It is a tool for determination, interpreting, and communicating crucial structures in data.
It also implies using data patterns to make more intelligent decisions. With the usage of analytics, data science may modify and better business outcomes.
Therefore, the Analytics can improve the business outcomes.
Learn more about the data science, refer to:
brainly.com/question/20815848
#SPJ1
Answer and Explanation:
According to the scenario, computation of the given data are as follow:-
Price ceiling:-This is show the limit of the price on maximizing value of the product which is decided by government and his imposed group for customer.
Binding:-The binding price ceiling is below the equilibrium price.
Unbinding:-The unbinding price ceiling is above equilibrium price.
Price floor:-This is show the limit of the price on lower value of the product which is decided by government and his imposed group for customer. A price floor must be higher than the price equilibrium price in order to be effective.
Binding:-The binding price floor is above the equilibrium price.
Unbinding:-The unbinding price floor is below the equilibrium price.
It is given that the equilibrium price of milk is $2.50 per gallon.
Statement 1:-This is the example of price floor and binding because minimum price of $2.30 per gallon is decided.
Statement 2:-This is the example of price floor and binding because minimum price of $3.40 per gallon is decided for gasoline.
Statement 3:-This is the example of price floor and binding because teenagers are not hired due to minimum-wage laws.
Answer:
(1)
Fees revenues 42,600
Total expenses 1.92 x 4260 = 8179.2
<em>Net income 34,420.8</em>
<em>(2)</em>
Fees revenues 42,600
Variable cost 2,982
Contribution Margin 39,618
Fixed Cost 14,400
Net Income 25,218
Explanation:
(1)
We multiply by the garment cleaned
10 x 4,260 = 42,600
0.7 x 4,260 = 2982
and distribute the fixed cost among the normal capacity
14,400 / 7,500 = 1.92 fixed cost per garment cleaned
.7 + 1.92 = 2.62 cost per garment
(2)
We do not include the fixed cost in the unit cost, we subtact them completely as an expense.
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
Answer:
$15,592
Explanation:
Calculation to determine what The amount of cash received by Carla Vista furniture is
Cash received =[(20 × $920)*(100%-7%)] - $670 - $850
Cash received=($18,400*93%)-$670-$850
Cash received=17,112-$670-$850
Cash received=$15,592
Therefore The amount of cash received by Carla Vista furniture is $15,592