Question

6. Which of the following is false regarding the R2 term? a) R2 measures the goodness of fit of a model b) R2 measures how mu

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

6)

The false regarding the R 2 term is :

b) Rº measures how much of the variation in the dependent variable is explained by variation in the independent variable.

Add a comment
Know the answer?
Add Answer to:
6. Which of the following is false regarding the R2 term? a) R2 measures the goodness...
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
  • Question 9. Results of the three goodness of test measures is given in the table below: Goodness of Fit Tests R...

    Question 9. Results of the three goodness of test measures is given in the table below: Goodness of Fit Tests R Square 0.93 ANOVA F Sig F 25.431 0.0008 Coefficients St.Error t Stat P-value Intercept -35.25 7.05 -4.996 0.002 Training 2.47 0.64 3.851 0.008 Performance 8.20 1.20 6.824 0.000 Years of Service 1.1 0.42 2.592 0.041 a) Do the independent variables explain a reasonable amount of variation in the dependent variable? Justify.    b) Can any of the independent variables be...

  • Question 8 to question 19 are true or false Subject: ADMN210- Applied Business Statistics 8) A...

    Question 8 to question 19 are true or false Subject: ADMN210- Applied Business Statistics 8) A hypothesis test always contains the possibility of committing one of two types of errors callled Type I and Type lI errors d u e avoda b 9) The null hypothesis is rejected if the p-value is greater than the significance level 10) The probability of committing a Type I error is called the level of significance 11) In hypothesis testing the statistical conclusion is...

  • Which of the following statements is false about the coefficient of determination r2

    Which of the following statements are not correct? The coefficient of determination, denoted by r^2 is interpreted as the proportion of observed y variation that cannot be explained by the simple linear regression model. The higher the value of the coefficient of determination, the more successful is the simple linear regression model in explaining y variation. If the coefficient of determination is small, an analyst will usually want to search for an alternative model (either a nonlinear model or a...

  • True or False: Given the necessary assumption: E(u|X) = 0, β ̂ is a random variable...

    True or False: Given the necessary assumption: E(u|X) = 0, β ̂ is a random variable with a distribution centered at 0. Given the necessary assumption: E(u|X) =0, β ̂ is a random variable with a distribution centered at β. Adding more independent variables to a model will only increase R2 if they provide meaningful variation. Adj R2 measures the proportion of the variation in the dependent variable that has been explained by the variation in the independent variable. If...

  • 1. In simple linear regression analysis, we assume that the variance of the independent variable (X)...

    1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...

  • 1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1...

    1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...

  • If using a 95% confidence interval and the absolute value of the t-statistic is larger than...

    If using a 95% confidence interval and the absolute value of the t-statistic is larger than the critical value, then we will be wrong 95% of the time if we reject the null hypothesis. we accept the null hypothesis at a 95% confidence level. we will be wrong less than 5% of the time if we accept the null hypothesis. we reject the null hypothesis at a 95% confidence level. Ordinary Least Squares Regression analysis attempts to change a multivariate...

  • A researcher would like to predict the dependent variable Y from the two independent variables X1...

    A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=10 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test statistics to assess the significance of the regression model and partial slopes. Use a significance level α=0.02. X1 X2 Y 40.5 62.9 21.8 16.4 51.3 31.8 62.5 44.4 29.6 60.4 53.6 40.6 50.2 54 33.7 39.2 51.5 37 80.9 16.9 58.1 41.6 52.6...

  • Chapter 10 13. The further the hypothesized mean is from the actual mean the lower is...

    Chapter 10 13. The further the hypothesized mean is from the actual mean the lower is the power of the test. 14. The manager of the quality department for a tire manufacturing company wants to know the average tensile strength of rubber used in making a certain brand of radial tire. She knows the population standard deviation and uses a Z test to test the null hypothesis that the mean tensile strength is 800 pounds per square inch. The calculated...

  • ek-tin Based on the following regression output, what proportion the total variation in Y is explained...

    ek-tin Based on the following regression output, what proportion the total variation in Y is explained by X? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA di SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 Residual 8 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 0.917214 o b.9.385572...

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
ADVERTISEMENT