The graph of the simple linear regression equation is a(n)
a. ellipse. b. hyperbola.
c. parabola. d. straight line.
Q. 2An apparel designing company is planning to enter the women's trousers market. They are in the process of developing a product that will appeal most to customers. The levels small, medium, and large of the size attribute are modeled using
a. objective function coefficients.
b. slack variables.
c. binary variables.
d. nonlinear coefficients.
Q. 3In a linear regression model, the variable that is being predicted or explained is known as _____________. It is denoted by y and is often referred to as the response variable.
a. dependent variable
b. independent variable
c. residual variable
d. regression variable
Q. 4An apparel designing company is planning to enter the women's trousers market. They are in the process of developing a product that will appeal most to customers. Pink, green, and black will be __________ of the color attribute.
a. levels
b. constraints
c. regression constants
d. utility values
Q. 5In the simple linear regression model, the ____________ accounts for the variability in the dependent variable that cannot be explained by the linear relationship between the variables.
a. constant term b. error term
c. model parameter d. residual
Q. 6An apparel designing company is planning to enter the women's trousers market. They are in the process of developing a product that will appeal most to customers. In an integer programming model for this problem, the available sizes of the trousers will be represented as
a. binary variables
b. constraints
c. attributes
d. regression constants
Q. 7In a simple linear regression model, y = 0 + 1x + B1 represents the
a. intercept. b. slope of the true regression line.
c. mean value of x. d. error term.
Q. 8An apparel designing company is planning to enter the women's trousers market. They are in the process of developing a product that will appeal most to customers. What category does the above objective fall under?
a. Capital budgeting problem
b. Covering problem
c. Fixed-cost problem
d. Product design and market share optimization problem
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