I need help with d An airline developed a regression model to predict revenue from flights that connect "feeder" cities to its hub airport. The response in the model is the revenue generated by flights operating to thefeeder cities (in thousands of dollars per month), and the two explanatory variables are the air distance between the hub and feeder city (Distance, in miles) and the population of the feeder city (inthousands). The least squares regression equation based on data for 37 feeder locations last month is Estimated revenue = 81 +0.3Distance + 1.4Population with R² = 0.75 and so = 31.2. Completeparts a through d.1/A. The intercept estimates fixed revenue based upon the distance between the hub and feeder city.B. The intercept estimates fixed revenue based upon the population of the feeder city.C. The intercept estimates fixed revenue regardless of distance or population, such as earnings from air freight.An interpretation of the intercept cannot be determined given the data.(c) What is the interpretation of the partial slope for Distance?A. Among comparably populated cites, flights to those that are 100 miles away produce $8,100,000 more revenue per month, on average.B. Among comparably populated cities, flights to those that are 100 miles away produce $140,000 more revenue per month, on average.C. Among comparably populated cities, flights to those that are 100 miles away produce $30,000 more revenue per month, on average.D. An interpretation of the partial slope for Distance cannot be determined given the data.(d) What is the interpretation of the partial slope for Population?A. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $1400 more per month.OB. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $300 more per month.C. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $81,000 more per month.D. An interpretation of the partial slope for Population cannot be determined given the data.

The question is about regression Given : Reg. eq. : Est. revenue = 81 + 0.30Distance + 1.4Population…

An airline developed a regression model to predict revenue from flights that connect "feeder" cities to its hub airport. The response in the model is the revenue generated by flights operating to the feeder cities (in thousands of dollars per month), and the two explanatory variables are the air distance between the hub and feeder city (Distance, in miles) and the population of the feeder city (in thousands). The least squares regression equation based on data for 37 feeder locations last month is Estimated revenue = 81 +0.3Distance + 1.4Population with R² = 0.75 and se = 31.2. Complete parts a through d. C OA. The intercept estimates fixed revenue based upon the distance between the hub and feeder city. OB. The intercept estimates fixed revenue based upon the population of the feeder city. c. The intercept estimates fixed revenue regardless of distance or population, such as earnings from air freight. O D. An interpretation of the intercept cannot be determined given the data. (c) What is the interpretation of the partial slope for Distance? OA. Among comparably populated cites, flights to those that are 100 miles away produce $8,100,000 more revenue per month, on average. OB. Among comparably populated cities, flights to those that are 100 miles away produce $140,000 more revenue per month, on average. c. Among comparably populated cities, flights to those that are 100 miles away produce $30,000 more revenue per month, on average. O D. An interpretation of the partial slope for Distance cannot be determined given the data. (d) What is the interpretation of the partial slope for Population? OA. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $1400 more per month. OB. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $300 more per month. OC. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $81,000 more per month. O D. An interpretation of the partial slope for Population cannot be determined given the data.

An airline developed a regression model to predict revenue from flights that connect "feeder" cities to its hub airport. The response in the model is the revenue generated by flights operating to the feeder cities (in thousands of dollars per month), and the two explanatory variables are the air distance between the hub and feeder city (Distance, in miles) and the population of the feeder city (in thousands). The least squares regression equation based on data for 37 feeder locations last month is Estimated revenue = 81 +0.3Distance + 1.4Population with R² = 0.75 and se = 31.2. Complete parts a through d. C OA. The intercept estimates fixed revenue based upon the distance between the hub and feeder city. OB. The intercept estimates fixed revenue based upon the population of the feeder city. c. The intercept estimates fixed revenue regardless of distance or population, such as earnings from air freight. O D. An interpretation of the intercept cannot be determined given the data. (c) What is the interpretation of the partial slope for Distance? OA. Among comparably populated cites, flights to those that are 100 miles away produce $8,100,000 more revenue per month, on average. OB. Among comparably populated cities, flights to those that are 100 miles away produce $140,000 more revenue per month, on average. c. Among comparably populated cities, flights to those that are 100 miles away produce $30,000 more revenue per month, on average. O D. An interpretation of the partial slope for Distance cannot be determined given the data. (d) What is the interpretation of the partial slope for Population? OA. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $1400 more per month. OB. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $300 more per month. OC. For every additional 1000 people in the population of feeder cities that are equally distant from the hub, revenues average $81,000 more per month. O D. An interpretation of the partial slope for Population cannot be determined given the data.

Elementary Linear Algebra (MindTap Course List)

8th Edition

ISBN:9781305658004

Author:Ron Larson

Publisher:Ron Larson

Chapter2: Matrices

Section2.CR: Review Exercises

Problem 90CR

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