Answer:
a. Product, price, distribution, and promotion variables
Explanation:
As a customer requires various attributes of the product, that is for which the customer will not compromise in, these include:
The product needed, as for the customer is hungry he shall ask for a pizza, now pizza is a product.
The price of the product, if the price is in the budget of the customer he shall buy it else he shall not buy it.
Distribution associated with it basically the method in which it will be distributed, the packaging extracts.
Promotion variables includes extra benefits like offered with the product, cash backs as for example, etc:
Explanation:
- Understand your audience. ..
- Create your blog domain. ...
- Customize your blog's theme. ...
- Identify your first blog post's topic. ...
- Come up with a working title. ...
- Write an intro (and make it captivating). ...
- Organize your content in an outline. ...
- Write your blog post!
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The two correct options are:
peace, stability, and order.
new technologies and infrastructure.
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)
Answer:
Capability ratio = 1.04166
Explanation:
Given:
Length of a shoe (not deviate) = 1 mm
Standard deviation of this length = 0.32 mm
Number of standard deviations = 3
Find:
Capability ratio = ?
Computation:
Capability ratio = [Length of a shoe (not deviate) / Standard deviation of this length] / Number of standard deviations
Capability ratio = [1 / 0.32] / 3
Capability ratio = 3.125 / 3
Capability ratio = 1.04166
Capability ratio is greater than 1, therefore process is capable.
