Question

# For your initial post, choose one of the following two prompts to respond to. Then in your two follow up posts,

respond at least once in each option. Use the discussion topic as a place to ask questions, speculate about answers, and share insights. Be sure to embed and cite your references for any supporting images.

Option 1:

Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and discuss why a regression analysis could be appropriate for this problem.

Specifically, what statistical questions are you asking? Why would you want to predict the value of Y? What if you wanted to predict a value of Y that's beyond the highest value of X (for example if X is time and you want to forecast Y in the future)?

You should describe the data collection process that you are proposing but you do not need to collect any data.

### Recently Asked Questions

- Please refer to the attachment to answer this question. This question was created from BUS4025_Assignment_6[1].docx. Additional comments: "The question was not

- A random sample of 35 subjects who identified themselves as compulsive buyers was obtained and given a questionnaire. They had a mean questionnaire score of

- What is the value of the standard score, z, and should the null hypothesis be rejected at a 0.05 significance level? Is the alternative hypothesis supported?