Question 11 (4.9 points)
Background: Consider the following customer database in the attached file. They were recently promoted and the company accumulated their responses to the campaign as shown. They want to use this data to promote again but only to the most responsive customers. Use Excel and create a linear response model to answer the following question. The linear regression model is:
Data for Part B final exam.docx
Question 11 options:
| Response = b+ m1 * Age +m2 * Height |
| Response = 5 +.064 *Age - .00007 * Height |
| Response = 5 -.064 *Age - .00007 * Height |
| Response = 5 -.0644 * Height - .00007 * Age Question 12 (4.9 points) Use the attached file to answer this question: The correlation between AGE and WEIGHT makes sense since (select the best answer): BigClass.xlsx Question 12 options: | The older the teenager, the taller he or she is | | The older the teenager, the heavier their body probably is | | The older the teenager, the more attention they pay to their diet | | There is not discernible correlation between these two variables Question 13 (4.9 points) Use the attached to answer this question: What is the correlation between the AGE and HEIGHT variables? BigClass.xlsx Question 13 options: | none of the above | | 0.70917 | | .60826 | | 0.46318 |
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