Question

In the simple linear regression model, the ____________ accounts for the variability in the dependent variable...

In 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.

residual

  c.

model parameter

  d.

error term

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

d. error term

[Reason] It is often said that the error term in a regression equation represents the effect of the variables that were omitted from the equation & an error term is created when a model does not precisely depict the relationship between different types of variables

Add a comment
Know the answer?
Add Answer to:
In the simple linear regression model, the ____________ accounts for the variability in the dependent variable...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Similar Homework Help Questions
  • In the simple linear regression equation, (y a+ bx+ e), the a is the... O A....

    In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...

  • Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear...

    Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear regression). In the study, a health care economist seeks to determine if a relationship exists between personal income and expenditures on health care, both measured in billions of dollars. Regression Statistics Multiple R ??? R Square ??? Standard Error Observations 51 ANOVA df SS MS F P-value Regression 1 15,750.32 0.00001 Residual/Error Total ??? 16,068.21 Coefficients Standard Error t Stat P-value Lower 95% Upper...

  • Which of the following statements is true with respect to a simple linear regression model? a....

    Which of the following statements is true with respect to a simple linear regression model? a. The regression slope coefficient is the square of the correlation coefficient b. It is possible that the correlation between a y and x variable might be statistically significant, but the regression slope coefficient could be determined to be zero since they measure different things c. The percentage of variation in the dependent variable that is explained by the independent variable can be determined by...

  • An assumption of the simple linear regression model is... (a) (b) (c) (d) that only the...

    An assumption of the simple linear regression model is... (a) (b) (c) (d) that only the dependent variable is random that only the independent variable is random that both the dependent and independent variables are random that dependent and independent variables are not random

  • What does the error term in the simple linear regression model account for? What are the...

    What does the error term in the simple linear regression model account for? What are the parameters of the simple linear model When all the points fall on the regression line, what is the value of the correlation coefficient? Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable) is shown below. Provide the values for a-e shown in the table below. (See section 15.5) Summary Output ANOVA df SS MS F Significance F...

  • A valid simple linear regression model to predict values of dependent variable Z from the values...

    A valid simple linear regression model to predict values of dependent variable Z from the values of independent variable W is defined by the following equation: a. Z=3WZ b. Z=-4.5-3W c. Z=-4.5-3*W1+3*W2 d. Z=-4.5-3(W^2)

  • 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...

  • A simple linear regression (linear regression with only one predictor) analysis was carried out using a...

    A simple linear regression (linear regression with only one predictor) analysis was carried out using a sample of 23 observations From the sample data, the following information was obtained: SST = [(y - 3)² = 220.12, SSE= L = [(yi - ġ) = 83.18, Answer the following: EEEEEEEE Complete the Analysis of VAriance (ANOVA) table below. df SS MS F Source Regression (Model) Residual Error Total Regression standard error (root MSE) = 8 = The % of variation in the...

  • For a simple linear regression model, significance of regression is: Group of answer choices the variability...

    For a simple linear regression model, significance of regression is: Group of answer choices the variability of the observed Y-values from the predicted values. a hypothesis test of whether the regression coefficient ß1 is zero. a measure of how well the regression line fits the data. a measure that determines if the linearity assumption is satisfied

  • Dummy Variable Regression: Choose any metric variable as the dependent variable (you can use the ...

    Dummy Variable Regression: Choose any metric variable as the dependent variable (you can use the same one that you used in Part A) and choose gender as an independent variable. Also choose one more metric variable as an additional independent variable. Once again, however, you must sort through the metric independent variables until you find one that, along with gender, produces a significant F-calc. Use alpha = .05 here as well.   You only need to report the model that produced...

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