stat

1. The purpose of regression analysis is to 

	A.	prove that the mean depends on the standard deviation
	B.	identify the relationship between a dependent variable and one or more independent variables
	C.	verify a statistical hypothesis concerning the unknown population parameter
	D.	check the correlation between the mean and the variance

1 points   

QUESTION 2

1. In regression analysis, the variable that is being predicted is the

	A.	dependent variable
	B.	is usually x
	C.	intervening variable
	D.	independent variable

1 points   

QUESTION 3

1. The procedure of using sample data to find the estimated regression equation is better known as

	A.	the least squares method
	B.	interval estimation
	C.	point estimation
	D.	extrapolation

1 points   

QUESTION 4

1. An estimated regression equation has the form: y=7+2X1+9X2. As x1 increases by 1 unit (holding x2 constant), then y is expected to

	A.	decrease by 2 units
	B.	increase by 2 units
	C.	increase by 9 units
	D.	decrease by 9 units

1 points   

QUESTION 5

1. A regression analysis between sales (y in $1000) and advertising (x in $100) resulted in the following equation y=30+4x. The above equation implies that an

	A.	increase of $100 in advertising leads to an increase of $34,000 in predicted sales
	B.	increase of $1 in advertising leads to an increase of $4 in predicted sales
	C.	increase of $4 in advertising leads to an increase of $4,000 in predicted sales
	D.	increase of $100 in advertising leads to an increase of $4,000 in predicted sales

1 points   

QUESTION 6

1. Regression analysis was applied between demand for a product (y) and the price of the product (x) that may vary between 1 and 5, and the following estimated regression equation was obtained:y=120-10x . Based on the above equation, if price is 2 units, the predicted demand

	A.	is 100 units
	B.	is 120 units
	C.	increases by 120 units
	D.	decreases 100 units

1 points   

QUESTION 7

1. Exhibit 7-1. Linear regression analysis was applied between sales data (y in $1,000s) and advertising expenditures (x in $100s). A random sample of 17 observations led to the following information:

ANOVA
	df	SS	MS	F
Regression		225
Error
Total		300

2.

	Coefficients	Standard Error	t Stat
Intercept	12
Expenditure	1.8	0.2683

3. Refer to Exhibit 7-1. If $3,000 is spent on advertising, what are the predicted sales?

	A.	66000
	B.	660
	C.	5412
	D.	5400

1 points   

QUESTION 8

1. Refer to Exhibit 7-1. If $100 additional dollars is spent on advertising, then the predicted sales will

	A.	increase by $180
	B.	increase by $18,000
	C.	increase by $1,800
	D.	remain unchanged

1 points   

QUESTION 9

1. Refer to Exhibit 7-1.  ___ percent of variations in sales was explained by advertising expenditures

	A.	70
	B.	75
	C.	80
	D.	85

1 points   

QUESTION 10

1. Refer to Exhibit 7-1. The value of the t statistic for testing whether x and y are related is

	A.	6.7089
	B.	1.9600
	C.	9.5555
	D.	0.2683

1 points (Extra Credit)   

QUESTION 11

1. Refer to Exhibit 7-1. The p-value for testing whether x and y are related is

	A.	between 0.01 and 0.05
	B.	less than 0.01
	C.	more than 0.10
	D.	between 0.05 and 0.10

1 points (Extra Credit)   

QUESTION 12

1. Refer to Exhibit 7-1. The (positive) critical t value for testing whether x and y are related at a 1% significance level is

	A.	2.131
	B.	1.753
	C.	2.947
	D.	2.121

1 points (Extra Credit)   

QUESTION 13

1. Tactical decisions define :

	A.	the goals and plans of the organization
	B.	the day-to-day activities of the organization
	C.	the steps taken to achieve the goals and objectives
	D.	the domain of operations managers, who are close to the customer

1 points   

QUESTION 14

1. A manager wishes to know his company revenue and profit in its previous quarter. Which of the following business analytics will help the manager?

	A.	descriptive analytics
	B.	prescriptive analytics
	C.	predictive anlytics
	D.	decision analytics

1 points   

QUESTION 15

1. Information on the number of shipments, how much was included in each shipment, the date each shipment was sent, and so on extracted from the manufacturing plant’s database refers to ______.

	A.	data dashboards
	B.	data query
	C.	spreadsheet models
	D.	data mining

1 points   

QUESTION 16

1. A children’s apparel manufacturer used descriptive analytics:

	A.	to achieve efficiency in delivery of goods
	B.	to schedule staff and vehicle for delivery
	C.	to plan capacity utilization by incorporating the inherent uncertainty in commodities pricing
	D.	to present supply chain to managers visually

1 points