A large national bank charges local companies for using their services. A bank official reported theresults of a regression analysis designed to predict the bank's charges (y), measured in dollarsper month, for services rendered to local companies. One independent variable used to predictservice charge to a company is the company's sales revenue (x), measured in $ million. Data for21 companies who use the bank's services were used to fit the modelE(y) = Bo + Bix.Suppose a 95% confidence interval for ßi is (15, 25). Interpret the interval.A) We are 95% confident that sales revenue (x) will increase between $15 and $25 millionfor every $1 increase in service charge (y).B) We are 95% confident that service charge (y) will decrease between $15 and $25 for every$1 million increase in sales revenue (x).) We are 95% confident that the mean service charge will fall between $15 and $25 per month.D) We are 95% confident that service charge (y) will increase between $15 and $25 for every$1 million increase in sales revenue (x).

This is the interpretation of the confidence interval of the slope. Also given that confidence…

A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank's charges (v), measured in dollars per month, for services rendered to local companies. One independent variable used to predict service charge to a company is the company's sales revenue (x), measured in $ million. Data for 21 companies who use the bank's services were used to fit the model E(y) = Ba + Bix. Suppose a 95% confidence interval for ß1 is (15, 25). Interpret the interval. A) We are 95% confident that sales revenue (x) will increase between $15 and $25 million for every $1 increase in service charge (y). B) We are 95% confident that service charge (y) will decrease between $15 and $25 for every $1 million increase in sales revenue (x). ) We are 95% confident that the mean service charge will fall between $15 and $25 per month. D) We are 95% confident that service charge (y) will increase between $15 and $25 for every $1 million increase in sales revenue (x).

A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank's charges (v), measured in dollars per month, for services rendered to local companies. One independent variable used to predict service charge to a company is the company's sales revenue (x), measured in $ million. Data for 21 companies who use the bank's services were used to fit the model E(y) = Ba + Bix. Suppose a 95% confidence interval for ß1 is (15, 25). Interpret the interval. A) We are 95% confident that sales revenue (x) will increase between $15 and $25 million for every $1 increase in service charge (y). B) We are 95% confident that service charge (y) will decrease between $15 and $25 for every $1 million increase in sales revenue (x). ) We are 95% confident that the mean service charge will fall between $15 and $25 per month. D) We are 95% confident that service charge (y) will increase between $15 and $25 for every $1 million increase in sales revenue (x).

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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