homework

   

1. What is the purpose of data partition?

Your response should summarize the purpose in a brief paragraph.

Question 2

Why is multi-linear regression such an effective analytical method for supervised learning?

Your response should summarize the effectiveness in a brief paragraph.

Question 3

Use XLMiner to plot a side-by-side boxplot of consumer rating as a function of the shelf height. (Will need to do a screen shot to be able to save the boxplots.) If we were to predict consumer rating from shelf height, does it appear that we need to keep all three categories of shelf height?

Your response should make the argument in a brief paragraph.

Attach the worksheet containing the Boxplots. (Worksheet only; not the entire spreadsheet)

Question 4

Compute the correlation table for the quantitative variable (use Excel's Data → Data Analysis → Correlation menu). Which pair of variables is most strongly correlated? How can we reduce the number of variables based on these correlations?

Your response should address these two questions in a brief paragraph.

Attach the worksheet containing the Correlations. (Worksheet only; not the entire spreadsheet)

Question 5

Build a linear regression model using the Breakfast Cereal data set. Discuss your evaluation process to determine the possible performance of the predictability of the resulting model. Provide examples of reports data that can be used in the evaluation process.

Attach the completed spreadsheet