STATISTICAL TECHNIQUES IN BUSINESS AND E
STATISTICAL TECHNIQUES IN BUSINESS AND E
18th Edition
ISBN: 9781260570489
Author: Lind
Publisher: MCG
Question
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Chapter 13, Problem 17E

(a)

To determine

To create: The scatterplot of the data.

(b)

To determine

To calculate: The correlation coefficient between the variables.

(c)

To determine

The regression equation.

(d)

To determine

To find: The predicted value of sales.

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Bloomberg Intelligence listed 50 companies to watch in 2018 (bloomberg.com/features/companies-to-watch-2018). Twelve of the companies are listed here with their total assets and 12-month sales. Let sales be the dependent variable and total assets the independent variable. Draw a scatter plot Compute the correlation coefficient Determine the regression equation For a company with $100 billion in assets, predict the 12- month sales.
Spring is a peak time for selling houses. The file SpringHouses contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018 (realtor.com website) Click on the datafile logo to reference the data. DATA file a. The Excel output for the estimated regression equation that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house: SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression statistics Regression Residual Total Multiple R R Square ANOVA Adjusted R Square Standard Error Observations 0.7429 0.5519 0.4907 61948.6931 Regression statistics Regression Residual Total df Intercept Sq Ft Beds Lower 95% 0.9353 -145129.5298 Intercept Baths 0.9528 -49383.5243 0.0180 Sq Ft Beds 0.0326 Does the estimated regression equation provide a good fit to the data? Explain. Hint: If R is greater than 45%, the…
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Chapter 13 Solutions

STATISTICAL TECHNIQUES IN BUSINESS AND E

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