
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, a 95% confidence interval for β₁ is (15, 30) . Interpret the interval.
A) You are 95% confident that the mean service charge will fall between $15 and $30 per month.
B) You are 95% confident that the sales revenue (X) will increase between $15 and $30 million for every $1 increase in service charge (Y) .
C) You are 95% confident that mean service charge (Y) will increase between $15 and $30 for every $1 million increase in sales revenue (X) .
D) At the α = 0.05 level, there is no evidence of a linear relationship between service charge (Y) and sales revenue (X) .
Correct Answer:
Verified
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
Q14: 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
Q20: The slope (b₁) represents
A) predicted value of
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