TABLE 12-1
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 (Y) measured in dollars per month for services rendered to local companies. One independent variable used to predict service charges 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:
Y1 - β0 + β1X1 + εi
The results of the simple linear regression are provided below.
Y = -2,700 + 20 X, SYX = 65, two-tail p-value = 0.034 (for testing β1)
-Referring to Table 12-1, interpret the estimate of β₀, the Y-intercept of the line.
A) All companies will be charged at least $2,700 by the bank.
B) There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
C) About 95% of the observed service charges fall within $2,700 of the least squares line.
D) For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700.
Correct Answer:
Verified
Q1: The Y-intercept (b₀) represents the
A) estimated average
Q4: TABLE 12-2
A candy bar manufacturer is interested
Q5: TABLE 12-2
A candy bar manufacturer is interested
Q6: The least squares method minimizes which of
Q11: TABLE 12-2
A candy bar manufacturer is interested
Q12: The Y-intercept (b₀) represents the
A) predicted value
Q12: TABLE 12-2
A candy bar manufacturer is interested
Q13: TABLE 12-1
A large national bank charges local
Q14: TABLE 12-2
A candy bar manufacturer is interested
Q20: The slope (b₁) represents
A) predicted value of
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