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 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:
Yi = β0 + β1Xi + εi
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
Q3: The slope (b1)represents
A)predicted value of Y when
Q8: Referring to Table 13-2, if the price
Q11: The Y-intercept (b0)represents the
A)predicted value of Y
Q14: TABLE 13-1
A large national bank charges local
Q17: TABLE 13-2
A candy bar manufacturer is interested
Q20: TABLE 13-1
A large national bank charges local
Q25: TABLE 13-3
The director of cooperative education at
Q31: TABLE 13-3
The director of cooperative education at
Q33: TABLE 13-3
The director of cooperative education at
Q34: TABLE 13-3
The director of cooperative education at
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