Directions for the Discussion Board

You should shop for a product made by a foreign firm. Possible choices for this Discussion include ethnic grocery stores (such as Latino stores or Japanese food stores) or chains such as Cost Plus or Pier One that import inexpensive products from other countries. When selecting a product, try to find one that is amusing and has obviously been poorly marketed in terms of packaging, brand name, or general lack of appeal to U.S. consumers. Take notes on these products.

As the foreign marketer of your chosen product, put together a strategy for marketing it in the United States. You have the opportunity to keep the product the way it is or to change it completely. Consider the additional costs associated with changing the product.

Using research from Chapter 5 in your textbook, write your response describing a global marketing strategy for your chosen product covering the following areas:

Checklist: address the following target market questions and those regarding the 4 P’s in your postings:

1. Target market: Who should be the target market in the U.S.? What variables will be used to select the target market?The 4 P’s:
2. Product: Will any adaptation be made to the product features? What about the packaging? The brand name?
3. Price: What is a fair retail price for the product?
4. Promotion: How will the product be communicated to the target market? What promotional message will be used? What media will be used to reach the target market?
5. (Place) Distribution: Where will the product be sold? Will the product be sold on the Internet?

Your responses must be substantive in order to receive the maximum amount of points.

You might want to take a picture with your cell phone and attach it to your posted response in the Discussion area. You will be surprised at how creative and entertaining this exercise is!

References

Lamb, C. W., Hair, J. F., & McDaniel, C. (2014). MKTG7. Mason, OH: Cengage.

Assignment: Political and Business Climate (2000 words)

The political climate and business climate are closely intertwined. Some nations make it easy for business people to open businesses. Some welcome Foreign Direct Investment (FDI) while other nations make it difficult for foreign businesses. Corruption may be an issue in some countries. For this assignment, you need to analyze the political and business climate of your selected country. Following are some questions that you may want to consider:

• What type of government does the nation have?
• Is corruption an issue?
• Is it easy or difficult to start a new business?
• Are there domestic entanglements that must be considered such as domestic content rules?
• How free is the economy?
• Does the “rule of law” prevail?

Here is what you need to do for this assignment:

Provide key details about the country’s political system and current political leadership.

Provide a summary table and explanation from the Doing Business link documenting how easy or difficulty it is to do business in that country.

Provide a summary table and explanation from the World Governance link to summarize the level of political stability in that country.

Provide a summary table and explanation of the country’s overall risk from Euromoney’s Country Risk link.

Provide an overall summary of your estimate of political and market risk.

Suggested Resources:

• http://www.doingbusiness.org/EconomyRankings/
• http://info.worldbank.org/governance/wgi/index.aspx#home
• http://www.euromoneycountryrisk.com/

correct 5 abstract (grammatically) and write 5 more, and write essay about 5 of them.

https://stats.stackexchange.com/questions/46185/qu…

Multiple regression can be obtained by sequential matching

Returning to the setting of the question, we have one target

y

$y$ and two matchers

x1

$x_1$ and

x2

$x_2$. We seek numbers

b1

$b_1$ and

b2

$b_2$ for which

y

$y$ is approximated as closely as possible by

b1x1+b2x2

$b_1{x}_1+b_2{x}_2$, again in the least-distance sense. Arbitrarily beginning with

x1

$x_1$, Mosteller & Tukey match the remaining variables

x2

$x_2$ and

y

$y$ to

x1

$x_1$. Write the residuals for these matches as

x2â‹…1

$x_{2â‹\dots 1}$ and

yâ‹…1

$y_{â‹\dots 1}$, respectively: the

â‹…1

${}_{â‹\dots 1}$indicates that

x1

$x_1$ has been “taken out of” the variable.

We can write

y=λ1x1+y⋅1 and x2=λ2x1+x2⋅1.

$y={\mathrm{λ}}_1{x}_1+y_{â‹\dots 1}\text{and}{x}_2={\mathrm{λ}}_2{x}_1+x_{2â‹\dots 1}.$

Having taken

x1

$x_1$ out of

x2

$x_2$ and

y

$y$, we proceed to match the target residuals

yâ‹…1

$y_{â‹\dots 1}$ to the matcher residuals

x2â‹…1

$x_{2â‹\dots 1}$. The final residuals are

yâ‹…12

$y_{â‹\dots 12}$. Algebraically, we have written

y⋅1y=λ3x2⋅1+y⋅12; whence=λ1x1+y⋅1=λ1x1+λ3x2⋅1+y⋅12=λ1x1+λ3(x2−λ2x1)+y⋅12=(λ1−λ3λ2)x1+λ3x2+y⋅12.

$\begin{array}{cc}{y}_{â‹\dots 1}& ={\mathrm{λ}}_3{x}_{2â‹\dots 1}+y_{â‹\dots 12};\text{whence}\\ y& ={\mathrm{λ}}_1{x}_1+y_{â‹\dots 1}={\mathrm{λ}}_1{x}_1+{\mathrm{λ}}_3{x}_{2â‹\dots 1}+y_{â‹\dots 12}={\mathrm{λ}}_1{x}_1+{\mathrm{λ}}_3\left(x_2−{\mathrm{λ}}_2{x}_1\right)+y_{â‹\dots 12}\\ & =\left({\mathrm{λ}}_1−{\mathrm{λ}}_3{\mathrm{λ}}_2\right)x_1+{\mathrm{λ}}_3{x}_2+y_{â‹\dots 12}.\end{array}$

This shows that the

λ3

${\mathrm{λ}}_3$ in the last step is the coefficient of

x2

$x_2$ in a matching of

x1

$x_1$ and

x2

$x_2$ to

y

$y$.

We could just as well have proceeded by first taking

x2

$x_2$ out of

x1

$x_1$ and

y

$y$, producing

x1â‹…2

$x_{1â‹\dots 2}$ and

yâ‹…2

$y_{â‹\dots 2}$, and then taking

x1â‹…2

$x_{1â‹\dots 2}$ out of

yâ‹…2

$y_{â‹\dots 2}$, yielding a different set of residuals

yâ‹…21

$y_{â‹\dots 21}$. This time, the coefficient of

x1

$x_1$ found in the last step–let’s call it

μ3

${\mathrm{μ}}_3$–is the coefficient of

x1

$x_1$ in a matching of

x1

$x_1$ and

x2

$x_2$ to

y

$y$.

Finally, for comparison, we might run a multiple (ordinary least squares regression) of

y

$y$ against

x1

$x_1$and

x2

$x_2$. Let those residuals be

yâ‹…lm

$y_{â‹\dots lm}$. It turns out that the coefficients in this multiple regression are precisely the coefficients

μ3

${\mathrm{μ}}_3$ and

λ3

${\mathrm{λ}}_3$ found previously and that all three sets of residuals,

yâ‹…12

$y_{â‹\dots 12}$,

yâ‹…21

$y_{â‹\dots 21}$, and

yâ‹…lm

$y_{â‹\dots lm}$, are identical.