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A study was carried out to investigate the relationship between x = the number of components needing repair and y = the time of the service call (in minutes) for a computer repair company. The number of components and the service times for a random sample of 20 service calls were used to fit a simple linear regression model. Partial computer output is shown below. ______________________________________________________________ The regression equation is Time = 32.441 + 11.6205 Number A study was carried out to investigate the relationship between x = the number of components needing repair and y = the time of the service call (in minutes) for a computer repair company. The number of components and the service times for a random sample of 20 service calls were used to fit a simple linear regression model. Partial computer output is shown below. ______________________________________________________________ The regression equation is Time = 32.441 + 11.6205 Number ​ S=19.058, R-Sq=91.3%, R-Sq(adj) =90.0% ______________________________________________________________ One of the numbers in the above computer output indicates the percentage of the observed variation in the service call times that can be explained by the linear relationship between service call time and number of components needing repair. What is the value of this number? A) 91.3 B) 90.0 C) 19.058 D) 32.441 E) 0.7988 ​ S=19.058, R-Sq=91.3%, R-Sq(adj) =90.0% ______________________________________________________________ One of the numbers in the above computer output indicates the percentage of the observed variation in the service call times that can be explained by the linear relationship between service call time and number of components needing repair. What is the value of this number?


A) 91.3
B) 90.0
C) 19.058
D) 32.441
E) 0.7988

F) C) and D)
G) B) and C)

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If there is no evidence of a linear relationship between x and y, what decision will be made in a test of If there is no evidence of a linear relationship between x and y, what decision will be made in a test of ? ​ A) Reject and conclude that there is no evidence that the linear model is useful B) Reject and conclude that there is evidence that the linear model is useful C) Fail to reject and conclude that there is no evidence that the linear model is useful D) Fail to reject and conclude that there is evidence that the linear model is useful E) Not enough information to say. ? ​


A) Reject If there is no evidence of a linear relationship between x and y, what decision will be made in a test of ? ​ A) Reject and conclude that there is no evidence that the linear model is useful B) Reject and conclude that there is evidence that the linear model is useful C) Fail to reject and conclude that there is no evidence that the linear model is useful D) Fail to reject and conclude that there is evidence that the linear model is useful E) Not enough information to say. and conclude that there is no evidence that the linear model is useful
B) Reject If there is no evidence of a linear relationship between x and y, what decision will be made in a test of ? ​ A) Reject and conclude that there is no evidence that the linear model is useful B) Reject and conclude that there is evidence that the linear model is useful C) Fail to reject and conclude that there is no evidence that the linear model is useful D) Fail to reject and conclude that there is evidence that the linear model is useful E) Not enough information to say. and conclude that there is evidence that the linear model is useful
C) Fail to reject If there is no evidence of a linear relationship between x and y, what decision will be made in a test of ? ​ A) Reject and conclude that there is no evidence that the linear model is useful B) Reject and conclude that there is evidence that the linear model is useful C) Fail to reject and conclude that there is no evidence that the linear model is useful D) Fail to reject and conclude that there is evidence that the linear model is useful E) Not enough information to say. and conclude that there is no evidence that the linear model is useful
D) Fail to reject If there is no evidence of a linear relationship between x and y, what decision will be made in a test of ? ​ A) Reject and conclude that there is no evidence that the linear model is useful B) Reject and conclude that there is evidence that the linear model is useful C) Fail to reject and conclude that there is no evidence that the linear model is useful D) Fail to reject and conclude that there is evidence that the linear model is useful E) Not enough information to say. and conclude that there is evidence that the linear model is useful
E) Not enough information to say.

F) A) and D)
G) B) and C)

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When the four basic assumptions for a simple linear regression model are satisfied, a)What is μb equal to? b)What is σb equal to? c)What is the shape of the sampling distribution of b? d)What is the probability distribution of the standardized variable, When the four basic assumptions for a simple linear regression model are satisfied, a)What is μ<sub>b</sub> equal to? b)What is σ<sub>b</sub> equal to? c)What is the shape of the sampling distribution of b? d)What is the probability distribution of the standardized variable, ? ?

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a)μb = β
b) blured image c)The sh...

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