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q7-1

1.There are five key roles for iDirect e-mail. Select three that you think are the most important and explain why you picked the ones you did. Your response should be at least 500 words in length.

2.iDirect marketers are advised to “start listening to the conversation” their customers are having on social media. Describe five ways to use the new technology to start listening, and explain the advantages to marketers of listening. 

Your response should be at least 500 words in length.

Regression Analysis

QUESTION 1

  1. Please look at the following output from the regression. 

    What does the value of R-square tell us about our model? 

    Note: It is not sufficient to just provide some general answers. Use the numbers from the output, and write your answers specific to our regression model.

    Model Summary

    Model

    R

    R Square

    Adjusted R Square

    Std. Error of the Estimate

    1

    .771a

    .594

    .580

    21.741

    a. Predictors: (Constant), DENSITY

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12.5 points   

QUESTION 2

  1. Please look at the following output from the regression. 

    What do the value of F-test and its P-value tell us about our model? 

    Note: It is not sufficient to just provide some general answers. Use the numbers from the output, and write your answers specific to our regression model.

    ANOVAa

    Model

    Sum of Squares

    df

    Mean Square

    F

    Sig.

    1

    Regression

    20747.246

    1

    20747.246

    43.895

    .000b

    Residual

    14179.629

    30

    472.654

    Total

    34926.875

    31

    a. Dependent Variable: SALES

    b. Predictors: (Constant), DENSITY

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12.5 points   

QUESTION 3

  1. The regression coefficient output is shown below. 

    Does Density matter in terms of explaining sales? Can you provide an explanation of the coefficient estimate for Density? (Note: the unit of Density is number of homes per acre, and the unit of Sales is dollars per thousand homes ). 

    Coefficientsa

    Model

    Unstandardized Coefficients

    Standardized Coefficients

    t

    Sig.

    B

    Std. Error

    Beta

    1

    (Constant)

    141.525

    9.109

    15.538

    .000

    DENSITY

    -12.893

    1.946

    -.771

    -6.625

    .000

    a. Dependent Variable: SALES

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    5

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12.5 points   

QUESTION 4

  1. Managers suspect that the effect of Density on Sales can be nonlinear; in other words, as density increases, there will a decreasing marginal effect on density. To test this idea, they ran an additional regression, with Density and Density_Squared (i.e. Density*Density) as the independent variables (again, Sales as the dependant variable), and the output of the new regression shows below.

    Can you explain what the R_square and F-test tell us about the new model? Is the new model better than the model with only Density as the independent variable?

    Model Summary

    Model

    R

    R Square

    Adjusted R Square

    Std. Error of the Estimate

    1

    .910a

    .829

    .817

    14.354

    a. Predictors: (Constant), Density2, DENSITY

    ANOVAa

    Model

    Sum of Squares

    df

    Mean Square

    F

    Sig.

    1

    Regression

    28951.384

    2

    14475.692

    70.253

    .000b

    Residual

    5975.491

    29

    206.051

    Total

    34926.875

    31

    a. Dependent Variable: SALES

    b. Predictors: (Constant), Density2, DENSITY

    Coefficientsa

    Model

    Unstandardized Coefficients

    Standardized Coefficients

    t

    Sig.

    B

    Std. Error

    Beta

    1

    (Constant)

    212.595

    12.768

    16.650

    .000

    DENSITY

    -47.293

    5.601

    -2.827

    -8.444

    .000

    Density2

    3.419

    .542

    2.113

    6.310

    .000

    a. Dependent Variable: SALES

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12.5 points   

QUESTION 5

  1. (This is a Bonus Question)

    Continuing from Question 4, can you explain the meaning of the coefficient estimate of Density_Squared (i.e. Density*Density)? (Hint: the effect of Density on Sales is negative, while the effect of Density_Squared on Sales is positive). 

For Dr. Rocal Only help needed for 4 discussion questions.

Due by 5-29

Discussion 1

“Delivery Strategies” 

Question 1

Provide examples of three value-added support strategies geared toward helping a nursing home to implement a goal of providing a safe and caring environment for its residents.

Question 2

Suggest three specific market segments that a walk-in clinic could target in order to gain market share. Provide a rationale for your response.

Discussion 2

Value-Added Strategies” 

Question 1

 From the e-Activity, determine three value-added support strategies that the organization you researched would need to achieve its mission. Provide a rationale for your decision.

Question 2

Differentiate between implementing a value-added strategy and mapping it for sustainability. From the e-Activity, provide one example of a strategy and one environmental factor that management for this organization should consider when mapping the organization for sustainability.

Week 9

Discussion 3

“Support Strategies” 

Question 1

Select a specific type of healthcare organization (hospital, clinic, nursing home, etc.), and provide one example of a value-added service applicable to the type of organization that you have selected. Recommend two value-added support strategies necessary to implement this service for the type of organization you selected.

Question 2

Determine three reasons why you should evaluate the facilities and equipment aspects of a healthcare organization in order to implement value-added support strategies. Provide a rationale for your response.

Discussion 4

Strategy and Culture”

Question 1

Assess the importance of the link between a healthcare organization’s culture and its structure, relative to the successful implementation of its chosen strategy. Provide one example of such importance–or lack thereof–to support your position.

Question 2

Select the three factors of an organization’s culture that you feel are important to successfully implement a new strategy. Provide a rationale for your response.