APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Textbook Question
Chapter 12.2, Problem 11SE
(a) Interpret the slope of the fitted regression Number of International Franchises = −47.5 + 1.75 PowerDistanceIndex. The PowerDistanceIndex is a measure on a scale of 0–100 of the wealth gap between the richest and poorest in a country. (b) What is the prediction for number of international franchises in a country that has a PowerDistanceIndex of 85? (c) Is this intercept meaningful?
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5. The figure shows a scatterplot with a regression line for teachers' average pay and the expenditure per
pupil for each state for public schooling in 2007, according to The 2009 World Almanac and Book of Facts.
(a) From the graph, is the correlation between teachers' average pay and the expenditure per pupil
positive or negative?
(b) Interpret the slope.
(c) Interpret the intercept or explain why it should not be interpreted.
Ilomework - 3
Predicted Expenditure = -1424 + 0.2315 (Average Pay)
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Average Pay
Expenditure per Pupil
A linear model was fit to predict weekly Sales of frozen pizza (in pounds)
from the average Price (S/unit) charged by a sample of stores in a city in 39
weeks over a three-year period. The average Price of the pizza was $3.44
(SD = $0.34), and the average Sales were 59,981 pounds (SD = 10,719
pounds). If the Price in a particular week was equal to the mean price of
$3.44, how much pizza would you predict was sold that week? Answer to
the nearest pound.
44. The slope coefficient estimate b from a regression of profits on sales of a number of firms in the coal industry is 0.075. How should you interpret this coefficient?a) Average profit in the coal industry is 7.5%.b) If a firm in the coal industry were to increase its sales by $1, its profits would rise on average by $0.075.c) If a firm has 1 more dollar in sales than another firm in the coal industry, it will have 7.5 more cents in profit on average.d) Average profit in the coal industry is .75%.e) If a firm in the coal industry were to increase its sales by $1, its profits would rise on average by $0.0075.45. A regression’s equation is given as: Q = 5 – 3P, which means that:a) a 3% increase in Price will decrease Quantity by 1%b) a 1% increase in Price will increase Quantity by 3%c) a 1% increase in Price will decrease Quantity by 3%d) a 3% increase in Quantity will decrease Price by 1%
Chapter 12 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 12.1 - For each sample, do a test for zero correlation....Ch. 12.1 - Instructions for Exercises 12.2 and 12.3: (a) Make...Ch. 12.1 - Prob. 3SECh. 12.1 - Prob. 4SECh. 12.1 - Instructions for exercises 12.412.6: (a) Make a...Ch. 12.1 - Prob. 6SECh. 12.2 - (a) Interpret the slope of the fitted regression...Ch. 12.2 - (a) Interpret the slope of the fitted regression...Ch. 12.2 - Prob. 9SECh. 12.2 - (a) Interpret the slope of the fitted regression...
Ch. 12.2 - (a) Interpret the slope of the fitted regression...Ch. 12.3 - Prob. 12SECh. 12.3 - Prob. 13SECh. 12.3 - The regression equation Credits = 15.4 .07 Work...Ch. 12.3 - Below are fitted regressions for Y = asking price...Ch. 12.3 - Refer back to the regression equation in exercise...Ch. 12.3 - Refer back to the regression equation in exercise...Ch. 12.4 - Instructions for exercises 12.18 and 12.19: (a)...Ch. 12.4 - Instructions for exercises 12.18 and 12.19: (a)...Ch. 12.4 - Instructions for exercises 12.2012.22: (a) Use...Ch. 12.4 - Instructions for exercises 12.2012.22: (a) Use...Ch. 12.4 - Instructions for exercises 12.2012.22: (a) Use...Ch. 12.5 - Instructions for exercises 12.23 and 12.24: (a)...Ch. 12.5 - Instructions for exercises 12.23 and 12.24: (a)...Ch. 12.5 - A regression was performed using data on 32 NFL...Ch. 12.5 - A regression was performed using data on 16...Ch. 12.6 - Below is a regression using X = home price (000),...Ch. 12.6 - Below is a regression using X = average price, Y =...Ch. 12.6 - Instructions for exercises 12.2912.31: (a) Use...Ch. 12.6 - Instructions for exercises 12.2912.31: (a) Use...Ch. 12.6 - Instructions for exercises 12.2912.31: (a) Use...Ch. 12.7 - Refer to the Weekly Earnings data set below. (a)...Ch. 12.7 - Prob. 33SECh. 12.8 - Prob. 34SECh. 12.8 - Prob. 35SECh. 12.9 - Calculate the standardized residual ei and...Ch. 12.9 - Prob. 37SECh. 12.9 - An estimated regression for a random sample of...Ch. 12.9 - An estimated regression for a random sample of...Ch. 12.9 - Prob. 40SECh. 12.9 - Prob. 41SECh. 12.9 - Prob. 42SECh. 12.9 - Prob. 43SECh. 12.11 - Prob. 44SECh. 12.11 - Prob. 45SECh. 12 - (a) How does correlation analysis differ from...Ch. 12 - (a) What is a simple regression model? (b) State...Ch. 12 - (a) Explain how you fit a regression to an Excel...Ch. 12 - (a) Explain the logic of the ordinary least...Ch. 12 - (a) Why cant we use the sum of the residuals to...Ch. 12 - Prob. 6CRCh. 12 - Prob. 7CRCh. 12 - Prob. 8CRCh. 12 - Prob. 9CRCh. 12 - Prob. 10CRCh. 12 - Prob. 11CRCh. 12 - Prob. 12CRCh. 12 - (a) What is heteroscedasticity? Identify its two...Ch. 12 - (a) What is autocorrelation? Identify two main...Ch. 12 - Prob. 15CRCh. 12 - Prob. 16CRCh. 12 - (a) What is a log transform? (b) What are its...Ch. 12 - (a) When is logistic regression needed? (b) Why...Ch. 12 - Prob. 46CECh. 12 - Prob. 47CECh. 12 - Prob. 48CECh. 12 - Instructions: Choose one or more of the data sets...Ch. 12 - Prob. 50CECh. 12 - Prob. 51CECh. 12 - Prob. 52CECh. 12 - Prob. 53CECh. 12 - Instructions: Choose one or more of the data sets...Ch. 12 - Instructions: Choose one or more of the data sets...Ch. 12 - Instructions: Choose one or more of the data sets...Ch. 12 - Prob. 57CECh. 12 - Prob. 58CECh. 12 - Prob. 59CECh. 12 - Prob. 60CECh. 12 - Prob. 61CECh. 12 - Prob. 62CECh. 12 - Prob. 63CECh. 12 - Prob. 64CECh. 12 - Prob. 65CECh. 12 - In the following regression, X = weekly pay, Y =...Ch. 12 - Prob. 67CECh. 12 - In the following regression, X = total assets (...Ch. 12 - Prob. 69CECh. 12 - Below are percentages for annual sales growth and...Ch. 12 - Prob. 71CECh. 12 - Prob. 72CECh. 12 - Prob. 73CECh. 12 - Simple regression was employed to establish the...Ch. 12 - Prob. 75CECh. 12 - Prob. 76CECh. 12 - Prob. 77CECh. 12 - Below are revenue and profit (both in billions)...Ch. 12 - Below are fitted regressions based on used vehicle...Ch. 12 - Below are results of a regression of Y = average...Ch. 12 - Prob. 81CE
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- We expect a car’s highway gas mileage to be related to its city gas mileage (in mpg). Data for all 1209 vehicles in the government’s 2016 Fuel Economy Guide gives the regression line highway mpg=7.903+(0.993×city mpg) for predicting highway mileage from city mileage. (a) What is the slope of this line? (Give your answer to 33 decimal places.) slope = Say in words what the numerical value of the slope tells you. Select the best option from these choices: A) On average, highway mileage increases by 0.993 mpg0.993 mpg for each additional mpg in city mileage. B) Highway gas mileage increases with city gas mileage by 7.903 mpg7.903 mpg for each additional mpg in city mileage. C) On average, highway mileage decreases by 0.993 mpg0.993 mpg for each additional mpg in city mileage. D) For every 7.903 mpg in city gas mileage, highway gas mileage increases about 0.993 mpg. E) On average, highway mileage increases by 7.903 mpg for each additional mpg in city mileage.…arrow_forwardAt the end of the semester the lecturer runs a regression using the student's final grade as the dependent variable and a male dummy (equals one if the student is male and equals zero otherwise) as the sole explanatory variable. If the estimated intercept is 64 and the estimated coefficient on the male dummy is 0 then what is the estimated mean mark for males in this course?arrow_forward3-A geographer conducts a study of the relationship between the level of economic development of a nation measured in thousands of dollars for per capita GDP) and the birth rate (average number of children per adult woman). For one analysis of the data, a part of the computer printout reports Statistic Value SE Correlation -0.460 0.170 Explain how to interpret the reported value of the correlation. b. Can you tell whether the sign of the slope in the corresponding prediction equation would be positive or negative? Why? c. Suppose the prediction equation were ý=5.6-0.1x. Interpret the slope, and show how to find the predicted birth rate for a nation that has x= 40. d. Sketch a scatter plot for which it would be inappropriate to use the correlation to describe the association.arrow_forward
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