BASIC BUSINESS STATISTICS-STUD.SOLN.MAN
BASIC BUSINESS STATISTICS-STUD.SOLN.MAN
14th Edition
ISBN: 9780134685045
Author: BERENSON
Publisher: PEARSON
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Chapter 15, Problem 4PS

a.

To determine

Find multiple linear regression equation for the provided data.

b.

To determine

Find quadratic regression equation for the above data.

c.

To determine

Comment which model is better between (a) and (b).

d.

To determine

Conclude about the relationship between calories, alcohol, and carbohydrate.

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Is the number of calories in a beer related to the number of carbohydrates​ and/or the percentage of alcohol in the​ beer? The accompanying table has data for 35 beers. The values for three variables are​ included: the number of calories per 12​ounces, the alcohol​ percentage, and the number of carbohydrates​ (in grams) per 12 ounces. a.  Perform a multiple linear regression​ analysis, using calories as the dependent variable and percentage alcohol and number of carbohydrates as the independent variables.   Let X1 represent alcohol percentage and let X2 represent the number of carbohydrates. ​(Round to four decimal places as​ needed.)
Bowling Corporation wants to know how closely its current cost driver is correlated with its monthly operating costs. The managerial accountant runs a regression analysis using a statistical software program and produces the following data: Intercept Coefficient = 12,200,567 X Variable 1 Coefficient = 95.65 R-square= 0.8574 What is the Bowling Corporation's monthly cost equation? OA. y $95.65x + $12,200,567 OB. y $95.65x + $8.574 O c. y = $0.8574x + $12,200,567 O D. y = $12,200,567x + $8,574 ---
The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. Selling Price 13,632 13,750 Age Miles 6 61,524 4 54,396 11,968 8 42,398 L Click here for the Excel Data File a. Determine the sample regression equation that enables us to predict the Price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) [If you are using R to obtain the output, then first enter the following command at the prompt: options(scipen=10). This will ensure that the output is not in scientific notation.] Price = |Age + Miles b. Interpret the slope coefficient of Age. The slope coefficient of Age is -578.38, which suggests that for every additional year of age, the predicted price of car decreases by $578.38. O The slope coefficient of Age is -0.09, which suggests that for every additional year of age, the predicted price of car decreases by $0.09. The slope…

Chapter 15 Solutions

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