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Use R 2 and the error measurement techniques discussed in the video lectures as your basis for judging the strength of your regression model. you

Use R2and the error measurement techniques discussed in the video lectures as your basis for judging the strength of your regression model.you need to come up with a regression model you feel best predicts theMonthlyCharges(Y predictive variable). You will use the scenario instructions and data to answer reflective questions based on the models you created.

here is the database

https://docs.google.com/spreadsheets/d/1z74unhRi_5F1_T6x-aaVX1CGA7ghRC47/edit#gid=1415556223

Please answer the following in excel if possible

  1. Use R2and the error measurement techniques discussed in the video lectures as your basis for judging the strength of your regression model.
    1. Indicate the error measurements for all techniques discussed in the video lectures.
    2. Explain why you consider this to be your best predictive model.
  2. Use the model you've developed in question 1 and define who you believe is the best market segment to go after and who you consider to be the least desirable market segment for MITTELCO. Explain and justify your recommendations.
  3. What limitations (if any) did you experience using EXCEL as your modeling platform?

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