A large national bank charges local companies for using its services. A bank official reported the results of a regression analysis designed to predict the bank's charges (y), 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 millions of dollars. Data for 21 companies who use the bank's services were used to fit the model, =b,x+ bo. The results of the least-squares linear regression are provided below. Interpret the estimate of bo, the y-intercept of the line. 20x + 2,700, s = 65, 2-tailed p-value = 0.064 (for testing b,) O A. There is no practical interpretation since a sales revenue of $0 is not likely to be a value. O B. About 95% of the observed service charges fall within $2,700 of the least-squares regression line. OC. All companies will be charged at least $2,700 by the bank. O D. For every $1 million increase in sales revenue, we expect a service charge o increase $2,700

Trigonometry (MindTap Course List)
8th Edition
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Charles P. McKeague, Mark D. Turner
Chapter4: Graphing And Inverse Functions
Section: Chapter Questions
Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...
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A large national bank charges local companies for using its services. A bank official reported the results of a regression analysis designed to predict the bank's charges (y), 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 millions of dollars. Data for 21 companies who use the bank's services were used to fit the model,
y =b, x+ bn. The results of the least-squares linear regression are provided below. Interpret the estimate of bo, the y-intercept of the line.
v= 20x + 2,700, s = 65, 2-tailed p-value = 0.064 (for testing b,)
O A. There is no practical interpretation since a sales revenue of $0 is not likely to be a value.
O B. About 95% of the observed service charges fall within $2,700 of the least-squares regression line.
OC. All companies will be charged at least $2,700 by the bank.
O D. For every $1 million increase in sales revenue, we expect a service charge to increase $2,700.
Transcribed Image Text:A large national bank charges local companies for using its services. A bank official reported the results of a regression analysis designed to predict the bank's charges (y), 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 millions of dollars. Data for 21 companies who use the bank's services were used to fit the model, y =b, x+ bn. The results of the least-squares linear regression are provided below. Interpret the estimate of bo, the y-intercept of the line. v= 20x + 2,700, s = 65, 2-tailed p-value = 0.064 (for testing b,) O A. There is no practical interpretation since a sales revenue of $0 is not likely to be a value. O B. About 95% of the observed service charges fall within $2,700 of the least-squares regression line. OC. All companies will be charged at least $2,700 by the bank. O D. For every $1 million increase in sales revenue, we expect a service charge to increase $2,700.
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