A regression model that involves a single independent variable is called _______

Question

  

A regression model that involves a single independent variable is called ________.

  

A)

unit regression

B)

single regression

C)

individual regression

D)

simple regression

Regression models of ________ data focus on predicting the future.

A)

panel

B)

cross-sectional

C)

time-series

D)

missing

Which of the following is true of linear functions used in predictive analytical models?

A)

It is used when there is a steady decrease or increase over a range of a variable.

B)

It is used when there is increase at a specific rate.

C)

It is used when there is a rise or fall at a constantly increasing rate.

D)

It is used when the rate of change in a variable decreases or increases quickly and then levels out.

In ________ functions, represented by y = abx, y rises or falls at constantly increasing rates.

A)

logarithmic

B)

exponential

C)

power

D)

polynomial

The R2 value:

  

A)

gives the proportion of variation in the dependent variable that is explained by the independent variable.

B)

is the variability of the observed Y-values from the predicted values.

C)

transforms the cumulative probability scale (vertical axis) so that the graph of the cumulative normal distribution is a straight line.

D)

indicates that as the independent variable increases, the intercept term does too.

________ means that the variation about the regression line is constant for all values of the independent variable.

A)

Normality of errors

B)

Linearity

C)

Homoscedasticity

D)

Autocorrelation

The Delphi method used for forecasting:

  

A)

uses measures that are believed to influence the behavior of a variable that the researcher wishes to forecast.

B)

uses a panel of experts, whose identities are typically kept confidential from one another, to respond to a sequence of questionnaires.

C)

obtains forecasts through a comparative analysis with a previous situation.

D)

uses a single measure that weights multiple indicators and provides a measure of overall expectation.

In forecasting, what is an index?

A)

It is a measure that provides a complete forecast.

B)

It is a time series that does not have trend, seasonal, or cyclical effects but is relatively constant and only exhibits random behavior.

C)

It is a stream of historical data, such as weekly sales.

D)

It is a single measure that weights multiple indicators and provides a measure of overall expectation.

Time-series models may exhibit seasonal effects or cyclical effects. A seasonal effect differs from a cyclical effect in that a seasonal effect:

  

A)

is based on analysis of historical time-series data and are predicated on the assumption that the future is an extrapolation of the past.

B)

describes ups and downs over a time frame such as several years.

C)

has no trend, is relatively constant, and only exhibits random behavior.

D)

is one that repeats at fixed intervals of time, typically a year, month, week, or day.

If the given time series has a trend and no seasonality, the most appropriate forecasting model to determine the forecast of the time series is the ________ model.

A)

Holt-Winters additive

B)

Holt-Winters no trend smoothing

C)

double exponential smoothing

D)

single exponential smoothing

Before launching a new line of toys, Toys Inc. used the method of historical analogy to obtain a forecast. In this scenario, Toys Inc.:

A)

noted the consumer response to similar previous products to marketing campaigns and used the responses as a basis to predict how the new marketing campaign might fare.

B)

noted the behavior of its current customers while they use their products.

C)

used a panel of experts, whose identities were kept confidential from one another, to respond to a sequence of questionnaires.

D)

used a brainstorming session among a group of experts to draw new ideas.

Which of the following is necessary to calculate the variable cost of production for the company to develop a profit model?

A)

quantity of item sold

B)

unit sale price

C)

fixed cost of production

D)

quantity of item produced

In which of the following ways does demand influence profit?

A)

It reduces the unit cost of production.

B)

It helps in reducing the variable cost of production.

C)

It predicts how many units will be sold.

D)

It directly influences the fixed cost of production.

In the equation to calculate the economic value of a customer, V = R × F × M / D, how is the value for F estimated?

A)

It is estimated to be the total number of purchases the customer has made.

B)

It is estimated to be the purchase frequency per year.

C)

It is estimated to be the number of customers defecting per year.

D)

It is estimated to be the number of visits of the customer without actually spending on an

Explanation / Answer

1. Simple regression because it involves one independent and independent variable

2. Time series , it tells future value for given independent set of values

3.c, When there is fall or rise at constantly increasing rate

4 b, exponential

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.