TABLE 13-01
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 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:
E(Y) =?0 + ?1X
The results of the simple linear regression are provided below.
, two-tailed value for testing
-Referring to Table 13-1, a 95% confidence interval for ?1 is (15, 30) . Interpret the interval.
A) At the ? = 0.05 level, there is no evidence of a linear relationship between service charge (Y) and sales revenue (X) .
B) We are 95% confident that the mean service charge will fall between $15 and $30 per month.
C) We are 95% confident that average service charge (Y) will increase between $15 and $30 for every $1 million increase in sales revenue (X) .
D) We are 95% confident that the sales revenue (X) will increase between $15 and $30 million for every $1 increase in service charge (Y) .
Correct Answer:
Verified
Q27: TABLE 13-01
A large national bank
Q28: TABLE 13-2
A candy bar manufacturer is
Q29: The Y-intercept (b0) represents the
A) change in
Q30: TABLE 13- 11
A company that has
Q31: TABLE 13-01
A large
Q33: The slope (b1) represents
A) the estimated average
Q34: TABLE 13-7
An investment specialist claims that
Q35:
Q36: In a simple linear regression problem, r
Q37: The standard error of the estimate is
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