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dskmvld dskmvld
wrote...
Posts: 489
4 years ago
Provide an appropriate response.

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, The results of the simple linear regression are provided below.
= 2,700 + 20x, s = 65, 2-tailed p-value = 0.064 (for testing β1)
Interpret the estimate of β0, the y-intercept of the line.

▸ All companies will be charged at least $2,700 by the bank.

▸ About 95% of the observed service charges fall within $2,700 of the least squares line.

▸ For every $1 million increase in sales revenue, we expect a service charge to increase $2,700.

▸ There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
Textbook 
Statistics: Informed Decisions Using Data

Statistics: Informed Decisions Using Data


Edition: 5th
Author:
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BtllllllBtllllll
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Posts: 429
4 years ago
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dskmvld Author
wrote...

4 years ago
Thank you, thank you, thank you!
wrote...

Yesterday
Good timing, thanks!
wrote...

2 hours ago
Helped a lot
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