Phase 1: Data Preparation. 1. Download the Mount Pleasant Real Estate Data from stat.hawkeslearning.com and open it with Microsoft Excel. 2. To ensure the data contains comparable properties, eliminate duplexes and properties whose prices are outliers. What limitations does this impose on our analysis? 3. The statistical tools from the current chapter focus on numeric data, so eliminate non- numeric variables from the data. Does this remove potentially useful information? 4. Are there any redundant variables we could eliminate? Phase 2: Discovering Relationships 5. How strongly does each remaining variable correlate to the price? 6. Which variable correlates most strongly with price? 7. Are any variables weakly correlated with price? Practically speaking, why do you think this is true? 3.5 3 2.5 2020 2015 2 1.5 1 0.5 0 $0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000 2010 2005 2000 Price vs. Stories 1995 .. -00-00-0 0000 MA mas Price vs. Year Built 80%. ●● ● ● 000 ●● ● 1990 $0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000

Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)?  *Hint: which one may predict the other? Example: hot weather may predict sunburns.

For the following line graph, State at least one type of conclusion that could be made from the data provided for the KPI. Suggest one other data source that would provide more information to make data-driven decisions. Explain what information that source would supply. (I used the clustered bar chart)   Examples: 1)  The completion KPI measures the percentage of South Texas College students who finished their degree or certificate program within six years. From the line graph, it can be seen that the completion rates have remained nearly constant through the years. Data from the THECB was used in this case.   2)  Information about the percentage of students who receive credit for attempted courses is available on the South Texas College KPI webpage. According to the data, over the past five years, an increasing number of students have been receiving credit for courses they have attempted. Data on the percentage of students who complete courses, the percentage of students who withdraw…

Only data that shows positive trends can be graphed in a scatter diagram. True O False

A major software company is considering a price increase on its most popular product.   They are currently selling below their competitor’s price. Someone from the Brand team suggested they check consumer response before making a price increase. You are called into explain how this marketing research might be carried out.  In terms of qualitative and quantitative options you tell them...

PART D TO BE ANSWERED! Thank you!

BUSINESS STATISTICS PROBLEM image attached: please help, thank you

a. Make the case with graphs and numbers that women are a growing presence in the U.S. military. b. Make the case with graphs and numbers that women are a declining presence in the U.S. military. c. Write a paragraph that gives a balanced picture of the changing presence of women in the military using appropriate statistics to make your points. What additional data would be helpful?

Choose a correct statement. Leverage means a gap between a data point that is unusual in OLS models. O Discrepancy means how far away an observation is from other observations. c. Cook's distance measures discrepancy. Influential outliers can be calculated by discrepancy X leverage. O Cook's distance measures discrepancy.