
TABLE 13-1
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 monthfor 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:
Yᵢ = β₀ + β₁Xi + Eᵢ
The results of the simple linear regression are provided below.
-Referring to Table 13-1, interpret the estimate of σ, the standard deviation of the random error term (standard error of the estimate) in the model.
A) About 95% of the observed service charges fall within $65 of the least squares line.
B) About 95% of the observed service charges equal their corresponding predicted values.
C) About 95% of the observed service charges fall within $130 of the least squares line.
D) For every $1 million increase in sales revenue, we expect a service charge to increase $65.
Correct Answer:
Verified
Q9: Referring to Table 13-2, to test whether
Q10: TABLE 13-2
A candy bar manufacturer is interested
Q11: TABLE 13-2
A candy bar manufacturer is interested
Q12: The Y-intercept (b₀) represents the
A) predicted value
Q13: Referring to Table 13-2, to test that
Q15: TABLE 13-1
A large national bank charges local
Q16: TABLE 13-2
A candy bar manufacturer is interested
Q17: TABLE 13-2
A candy bar manufacturer is interested
Q18: Referring to Table 13-2, what is the
Q19: TABLE 13-2
A candy bar manufacturer is interested
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