Question

How does a bivariate regression model differ from a multiple regression model? Multiple Choice A bivariate...

How does a bivariate regression model differ from a multiple regression model?

Multiple Choice

  • A bivariate regression has only one dependent and independent variable but a multiple regression has one dependent variable and may have many independent variables.

  • A bivariate regression has more than one dependent variable and only one independent variable where a multiple regression has one dependent variable and may have many independent variables.

  • A bivariate regression has only one dependent and many independent variables but a multiple regression has one dependent variable, but may have many independent variables.

  • A bivariate regression has only one dependent and independent variable but a multiple regression has more than one dependent variable and may have many independent variables.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

A bivariate regression has only one dependent and independent variable but a multiple regression has one dependent variable and may have many independent variables.

[ explanation:-

the general form of bivariate regression is :-

y=a+bx

where, x = independent variable, y = dependent variable.

the general form of multiple regression is :-

y=b_{1}x_{1}+b_{2}x_{2}+...b_{n}x_{n}

where, y = dependent variable , x1,x2,.......,xn = independent variable ]

*** if you have any doubt regarding the problem ,please write it in the comment box...if satisfied,please UPVOTE.

Add a comment
Know the answer?
Add Answer to:
How does a bivariate regression model differ from a multiple regression model? Multiple Choice A bivariate...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • How does a regression plane differ from a regression line? Multiple Choice A regression plane represents...

    How does a regression plane differ from a regression line? Multiple Choice A regression plane represents a two-dimensional space (e.g. one dependent and one independent variable) whereas a regression line represents a three-dimensional space (e.g. one dependent and two independent variables). A regression plane represents a three-dimensional space (e.g. one dependent and two independent variables) whereas a regression line represents a two-dimensional space (e.g. one dependent and one independent variable). A regression plane can represent a bivariate regression model and...

  • Once the dependent variable is determined when building a bivariate or multiple-regression model, what is the...

    Once the dependent variable is determined when building a bivariate or multiple-regression model, what is the next step? Multiple Choice Determine what factors contribute to the change in the dependent variable. Define the data series for the model. Specify the correlation between the dependent variables. Identify the other dependent variables.

  • A multiple regression model has _____. a. at least two dependent variables b. more than one...

    A multiple regression model has _____. a. at least two dependent variables b. more than one dependent variable c. more than one independent variable d. only one independent variable

  • What is a multiple regression equation? (Select all that apply) a. One that represents the mathematical...

    What is a multiple regression equation? (Select all that apply) a. One that represents the mathematical effect that several independent variables have on the dependent variable b. One in which the x-values are multiplied by one another c. One that explains more of the variance in y than does a single linear regression equation d. An experimental model for determining best practices e. One that uses more than one predictor variable to predict the value of the outcome variable f....

  • QUESTION 3 Which of the following statements describes why multiple regression is often a superior statistical...

    QUESTION 3 Which of the following statements describes why multiple regression is often a superior statistical technique over bivariate regression? If done properly, in multiple regression analysis, you get better estimates of the coefficients than you would in a bivariate regression analysis. If done properly, in multiple regression analysis, you get better estimates of the dependent variable than you would in a bivariate regression analysis. If done properly, in multiple regression analysis, you get an improved R-square and adjusted R-...

  • 1. If you were to graph a time series and it followed a trend that was...

    1. If you were to graph a time series and it followed a trend that was close to linear, then what type of forecasting model would you use? Multiple Choice Bass model Bivariate linear regression Simple moving average Gompertz curve 2. Visualization of data allows you to ____________________. Multiple Choice be as transparent to management as required more clearly identify the dependent and independent variables better understand if you need more data see stark differences that would not be apparent...

  • QUESTION 2 In multiple linear regression analysis, the number of independent variables should be as large...

    QUESTION 2 In multiple linear regression analysis, the number of independent variables should be as large as possible. more than 5. guided by economic theory. enough to guarantee that statistical significance is achieved. QUESTION 3 Omitted variable bias occurs when always occurs when performing simple linear regression analysis. independent variables that should be included in the analysis are not included and those independent variables are related to the variables in the regression model. independent variables that should not be included...

  • If it is desired to include marital status in a multiple regression model by using the...

    If it is desired to include marital status in a multiple regression model by using the categories single, married, separated, divorced, and widowed, what will be the effect on the model? 1. One more independent variable will be included. 2. Three more independent variables will be included. 3. Four more independent variables will be included. 4. Five more independent variables will be included. 5. Two more independent variables will be included.

  • What is the most difficult problem for a forecaster using multiple causal regression? Multiple Choice Monitoring...

    What is the most difficult problem for a forecaster using multiple causal regression? Multiple Choice Monitoring the economic time series. Identifying the dependent variable. Finding relevant independent variables with the right periodicity and covering the historic period matching the data. Determining the degrees of freedom necessary for the model and making certain they are in line with the demand planning models.

  • 2. In a multiple regression model, the OLS estimator is consistent if a. there is no...

    2. In a multiple regression model, the OLS estimator is consistent if a. there is no correlation between the dependent variables and the error term b. there is a perfect correlation between the dependent variables and the error term c. the sample size is less than the number of parameters in the model d. there is no correlation between the independent variables and the error term

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT