How JustAnswer Works:
  • Ask an Expert
    Experts are full of valuable knowledge and are ready to help with any question. Credentials confirmed by a Fortune 500 verification firm.
  • Get a Professional Answer
    Via email, text message, or notification as you wait on our site. Ask follow up questions if you need to.
  • 100% Satisfaction Guarantee
    Rate the answer you receive.
Ask linda_us Your Own Question
linda_us, Master's Degree
Category: Business and Finance Homework
Satisfied Customers: 852
Experience:  A tutor for Business, Finance, Accounts and other related topics.
Type Your Business and Finance Homework Question Here...
linda_us is online now
A new question is answered every 9 seconds

Multiple regression

Customer Question

Attachment: 2013-10-18_000119_mgt3509_w4a3_ms_data.xlsx

Multiple regression analysis is widely used in business research in order to forecast and predict purposes. It is also used to determine what independent variables have an influence on dependent variables, such as sales. Sales can be attributed to quality, customer service, and location. In multiple regression analysis, we can determine which independent variable contributes the most to sales; it could be quality or customer service or location. Now, consider the following scenario. You have been assigned the task of creating a multiple regression equation of at least three variables that explains Microsoft’s annual sales. Use a time series of data of at least 10 years. You can search for this data using the Internet. •Before running the regression analysis , predict what sign each variable will be and explain why you made that prediction. •Run three simple linear regressions by considering one independent variable at a time •After running each of the three linear regressions, interpret the regression. •Does the regression fit the data well? •Run a multiple regression using all three independent variables. •Interpret the multiple regression. Does the regression fit the data well? •Does each predictor play a significant role in explaining the significance of the regression? •Are some predictors not useful? •If so, did you consider removing those and rerunning the regression? •Are the predictors related too significantly to one another? What is the coefficient of correlation “r”? Do you think this “r” value suggests a strong correlation among the predictors ( the independent variables? Submit your answers in a two- to three-page Word document.


The required data is attached

Submitted: 3 years ago.
Category: Business and Finance Homework
Expert:  Angela--Mod replied 3 years ago.

Hello, I'm a moderator for this topic. I've been working hard to find a professional to assist you right away, but sometimes finding the right professional can take a little longer than expected.

I wonder whether you're ok with continuing to wait for an answer. Please let me know and I will assist further. Thank you!




Customer: replied 3 years ago.

I can wait a few more days but will need it by Tuesday at the latest.


THank you,



Expert:  Angela--Mod replied 3 years ago.

Thank you for your patience while we continue to search for a professional to assist you.

Customer: replied 3 years ago.



You can cancel this question. I was able to fine other assistance.


Thank you,