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Calculate the Pearson product-moment correlation coefficient to determine if there is a correlation between two variables.

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Correlation is a measure that can be use...

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In the regression equation,y = 75.65 + 0.50x,the slope is ___.


A) 0.50
B) 75.65
C) 1.00
D) 0.00
E) -0.50

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

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Explain what regression analysis is and the concepts of independent and dependent variable.

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Simple regression is a mathematical mode...

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For the regression line,y = 21 − 5x,21 is the y intercept of the line.

A) True
B) False

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A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a function of batch size (the number of boards produced in one lot or batch) .The dependent variable is ___.


A) batch size
B) unit variable cost
C) fixed cost
D) total cost
E) total variable cost

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

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A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch) .The intercept of this model is the ___.


A) batch size
B) unit variable cost
C) fixed cost
D) total cost
E) total variable cost

F) D) and E)
G) A) and B)

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A manager wants to predict the cost (y) of travel for salespeople based on the number of days (x) spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 4 days,the predicted cost of the trip is ___.


A) 480
B) 880
C) 524
D) 2080
E) 1080

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

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Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis's regression model is ___. A) y = -0.358 + 3.996x B) y = 0.358 + 3.996x C) y = -3.996 + 0.358x D) y = 3.996 - 0.358x E) y = 3.996 + 0.358x Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis's regression model is ___. A) y = -0.358 + 3.996x B) y = 0.358 + 3.996x C) y = -3.996 + 0.358x D) y = 3.996 - 0.358x E) y = 3.996 + 0.358x Louis's regression model is ___.


A) y = -0.358 + 3.996x
B) y = 0.358 + 3.996x
C) y = -3.996 + 0.358x
D) y = 3.996 - 0.358x
E) y = 3.996 + 0.358x

F) C) and D)
G) D) and E)

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The following data is to be used to construct a regression model: The following data is to be used to construct a regression model: The value of the slope is ___. A) 2.36 B) 2.16 C) 0.68 D) 0.57 E) 1.37 The value of the slope is ___.


A) 2.36
B) 2.16
C) 0.68
D) 0.57
E) 1.37

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

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To determine whether the overall regression model is significant,the F test is used.

A) True
B) False

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Consider the following scatter plot and regression line.At x = 17,the residual (error term) is ___. Consider the following scatter plot and regression line.At x = 17,the residual (error term) is ___. A) positive B) zero C) negative D) imaginary E) unknown


A) positive
B) zero
C) negative
D) imaginary
E) unknown

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

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The F value to test the overall significance of a regression model is computed by dividing the sum of squares regression (SSreg)by the sum of squares error (SSerr).

A) True
B) False

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Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis's sample size (n) is ___. A) 13 B) 14 C) 12 D) 24 E) 1 Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis's sample size (n) is ___. A) 13 B) 14 C) 12 D) 24 E) 1 Louis's sample size (n) is ___.


A) 13
B) 14
C) 12
D) 24
E) 1

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

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If there is perfect negative correlation between two sets of numbers,then ___.


A) r = 0
B) r = -1
C) r = +1
D) SSE=1
E) MSE = 1

F) B) and E)
G) B) and C)

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In the simple regression model,y = 21 − 5x,if the coefficient of determination is 0.81,we can say that the coefficient of correlation between y and x is 0.90.

A) True
B) False

Correct Answer

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Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Using <font face= symbol ></font> = 0.05,Louis should ___. A) increase the sample size B) suspend judgment C) not reject H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 D) reject H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 E) do not reject H<sub>0</sub>: <font face= symbol ></font><sub>0</sub> = 0 Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI) ,is analyzing the manufacturing costs of a moulded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) ,and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables: Using <font face= symbol ></font> = 0.05,Louis should ___. A) increase the sample size B) suspend judgment C) not reject H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 D) reject H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 E) do not reject H<sub>0</sub>: <font face= symbol ></font><sub>0</sub> = 0 Using = 0.05,Louis should ___.


A) increase the sample size
B) suspend judgment
C) not reject H0: 1 = 0
D) reject H0: 1 = 0
E) do not reject H0: 0 = 0

F) A) and E)
G) A) and D)

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The following residuals plot indicates ___. The following residuals plot indicates ___. A) a nonlinear relation B) a nonconstant error variance C) the simple regression assumptions are met D) the sample is biased E) the sample is random


A) a nonlinear relation
B) a nonconstant error variance
C) the simple regression assumptions are met
D) the sample is biased
E) the sample is random

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

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A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a function of batch size (the number of boards produced in one lot or batch) .The explanatory variable is ___.


A) batch size
B) unit variable cost
C) fixed cost
D) total cost
E) total variable cost

F) A) and E)
G) C) and D)

Correct Answer

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From the following scatter plot,we can say that between y and x there is ___. From the following scatter plot,we can say that between y and x there is ___. A) perfect positive correlation B) virtually no correlation C) positive correlation D) negative correlation E) perfect negative correlation


A) perfect positive correlation
B) virtually no correlation
C) positive correlation
D) negative correlation
E) perfect negative correlation

F) B) and C)
G) None of the above

Correct Answer

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One of the assumptions of simple regression analysis is that the error terms are exponentially distributed.

A) True
B) False

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