EBK BUSINESS STATISTICS
7th Edition
ISBN: 9780134462783
Author: STEPHAN
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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Look at the picture of the data set attached below or click this link to view the data set: https://docs.google.com/spreadsheets/d/1e0EJHxWj19KitPwekp2ncj7zhNOGjNRr5qJPfzZaosA/edit?usp=sharing
Then look at the regression analysis and explain what the results mean.
A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city.
Predict the mean cost per person for a restaurant with a summated rating of 70.
A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population.
What is the regression equation for the model that predicts the list price of all homes using population as an explanatory variable?What is the interpretation of the slope?
What is the interpretation of the intercept?
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- The largest commercial fishing enterprise in the southeastern United States is the harvest of shrimp. In a study, researchers monitored variables thought to be related to the abundance of white shrimp. One variable the researchers thought might be related to abundance is the amount of oxygen in the water. The relationship between mean catch per tow of white shrimp and oxygen concentration was described by fitting a regression line using data from ten randomly selected offshore sites. (The "catch" per tow is the number of shrimp caught in a single outing.) Computer output is shown below. The regression equation is Mean catch per tow = -5855 + 97.4 O2 Saturation Predictor Coef SE Coef T P Constant -5855 2393 -2.45 0.040 O2 Saturation 97.4 34.62 2.81 0.023 c)Construct a 95% confidence interval for ?. (Use a table or technology. Round your answers to three decimal places.) d)What margin of error is associated with the confidence interval in part (c)? (Round your…arrow_forwardThe number of megapixels in a digital camera is one of the most important factors in determining picture quality. But, do digital cameras with more megapixels cost more? The following data show the number of megapixels and the price ($) for 10 digital cameras(Consumer Reports, March 2009). The Kodak Easy Share Z1012 IS digital camera has 10 megapixels. Predict the price of this camera using the estimated regression equation developed. Brand and Model Megapixels Price (S) Canon PowerShot SD1100 IS Casio Exilim Card EX-510 180 200 230 8 10 Sony Cyber-shot DSC-T70 Pentax Optio M50 Canon PowerShot G10 Canon PowerShot A590 IS Canon PowerShot El 8 120 470 15 140 180 310 250 10 Fujifilm FinePix FO0FD Sony Cyber-shot DSC-W170 Canon PowerShot A470 12 10 110arrow_forwardIsla Esme, Inc., sells tea products to various customers. In recent years, profits have been declining. The CFO of the business investigated the reasons for the profit decline and performed regression analysis for sales and costs. He determined that sales depend on product price, delivery speed, customer services, and marketing expenses. He also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales.Question: Define the coefficient of determination and explain what it means in this scenario.arrow_forward
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