Login to Your Account

Solution Posted by

- Requests: 0
- Solutions: 792

Solution Detail

Price: $5.00

- From: Business,
- Posted on: Sat 16 May, 2015
- Request id: None
- Purchased: 0 time(s)
- Average Rating: No rating

Request Description

Problem One
The manager of a catering company is using the number of people in the party to predict the cost of the drinks that are required for the event. The following are the data for 12 recently catered events:
Complete the calculations below using this data. Show all of your work and clearly label each of your calculations.
a. Provide a scatterplot
b. Calculate a linear regression
c. Calculate the residuals
d. Calculate the correlation between the two variables
e. Calculate the mean, median, and standard deviation of the number of people and cost of drinks
For additional assistance with these calculations reference the Recommended Materials for Week Four.
Problem Two
You are a real estate agent and you are trying to predict home prices for your clients that want to list their house for sale. You have a very small city without much data. You will need to use the data that you have available for the past year on homes that have been sold.
Complete the calculations below using this data. Show all of your work and clearly label each of your calculations.
Conduct a multiple regression analysis to predict home prices. In your analysis complete the following:
a. Calculate the multiple regression analysis and report your data.
b. Determine the list price for your clientâ€™s home if it has three bedrooms, three bathrooms, and 1900 square footage. Provide your analysis and show all of your calculations.
For additional assistance with these calculations reference the Recommended Materials for Week Four.
Solution Description

**Problem One**

The manager of a catering company is using the number of people in the party to predict the cost of the drinks that are required for the event. The following are the data for 12 recently catered events:

Complete the calculations below using this data. **Show all of your work a
**