Use the following information from a multiple regression analysis to complete parts (a) through (c) below.n = 20 b₁ = 10 b₂ = 35 Sb₁ = 6Sb₂= 8Is there evidence that the variable X₂ contributes to a model already containing X₁?O A. No, since the null hypothesis is not rejected.OB. No, since the null hypothesis is rejected.O A. Include both variables X₁ and X₂.B. Include only the variable X₂.OC. Include neither variable X₁ nor X₂.OC. Yes, since the null hypothesis is rejected.D. Yes, since the null hypothesis is not rejected.On the basis of these results, indicate the independent variables to include in this model. Choose the correct answer below.

Given that: n=20b1=10b2=35Sb1=6Sb2=8

Answered: Use the following information from a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Exercise 15.13 Algo (Multiple Coefficient of Determination) The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,804 and 1,761, respectively. a. Compute R² (to 3 decimals). X b. Compute R (to 3 decimals). ŷ 18.5+ 4x12.5x2 +7.6x3 +2.7x4 = c. Comment on the goodness of fit. The estimated regression equation provided an excellent fit Hide Feedback Partially Correct MEOG 2 Save
You are given the following data : 85 А. Мean Standard Deviat. 11 36 8 Correlation coefficient between X and Y=0•66 (i) Find the two regression equations. (ii) Estimate the value of X when Y=75
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.t Assume the following data are representative of the results reported. The variable type indicates whether the restaurant is an Italian restaurant or a seafood/steakhouse. Price indicates the average amount paid per person for dinner and drinks, minus the tip. Score reflects diners' overall satisfaction, with higher values indicating greater overall satisfaction. A score of 80 can be interpreted as very satisfied. (Let x, represent average meal price, x, represent type of restaurant, and y represent overall customer satisfaction.) Restaurant Туре Price ($) Score Bertucci's Italian 16 77 Black Angus Steakhouse Seafood/Steakhouse 24 79 Bonefish Grill Seafood/Steakhouse 26 85 Bravo! Cucina Italiana Italian 18 84 Buca di Beppo Italian 17 81 Bugaboo Creek Steak House Seafood/Steakhouse 18 77 Carrabba's Italian Grill Italian 23 86 Charlie Brown's Steakhouse…
Use the following information from a multiple regression analysis to complete parts (a) through (c) below. n = 20 b₁ = 10 b₂ = 35 Sb₁ = 6 = 8 Sp₂ Find the p-value. (Round to three decimal places as needed.) Is there evidence that the variable X₁ contributes to a model already containing X₂? O A. No, since the null hypothesis is not rejected. O B. No, since the null hypothesis is rejected. O C. Yes, since the null hypothesis is not rejected. D. Yes, since the null hypothesis is rejected. Choose the correct hypotheses for X₂ below. OA. Ho: B₂ = 1 OB. Ho: B₂ #1 Next
please help.
The linear correlation between an independent (x) and dependent (y) variable A. Is the foundation for simple (bivariate) regression B. Does not indicate a causal relationship, though one might exist C. Can be direct, inverse, or nonexistent D. Can be used to predict the value of y for any observed value of x E. All of the above F. None of the above
See the attached image for the introduction. Is there evidence that Square Feet(x1), Price/Square Feet(x2), and Bathrooms(x3) together provide important information for predicting price? In terms of variables xi and parameters βi, write the null and alternative hypotheses. Find the statistics and its corresponding p-value.State your conclusion.
A researcher would like to predici the dependent variable Y fram the two independent variables X, and Xg for a sample of N = 18 subjecis. Use muliple linear regression to calculate the coefficient of multiple determination and Lest the significance of the overall regression model. Use a significance level a = 0.01. Y 53.2 42.4 56.6 75 32.2 62.9 68.2 26.9 70.1 63 30.9 57,4 52 44.2 70.1 52.9 33 55.9 67.8 35.3 54.9 51.1 49 47.8 39.5 57.4| 46.9 45.7| 52.7 60.5 57.2 43.2 61.1 40.4 42 | 45,7 56.1 42.2 37.3 51.8 | 58.9 53,4 51.9 42.2 47.5 37.1 48 46.8 66 33.8 | 61.7 32.3 53.4 57.5 F= Pvalue - What is your decision for the hypothesis test? O Reject the null hypothesis, H.:B, = B =0 O Fail to reject H, What is your final conclusion? O The evidence supports the claim that one ar more of the regression coefficients is non-zero O The evidence supports the claim that all of the regression coelfficients are zero OThere is insufficient evidence to support the claim that at least one of the regression…
4 Blank Filling Question. No work is required or graded. A simple linear regression analysis for n = 20 data points produced the following results: %D ŷ = 2.1 + 3.4x x = 2.5 y = 10.6 %D %D SS = 4.77 SSyy = 59.21 SSxy = 16.22 1. Find SSE, the sum of squares of residuals. SSE= SSyy %3D 2. Find s, the estimated standard error of the regression model. s2=SSE÷ and then taking square root will give s = 3. Find a 95% confidence interval for E(y) when x = 2.5. Xs.e.
Given are five observations for two variables, z and y. z 3 9 10 18 20 | 53 55 50 14 16 The estimated regression equation for these data is y 70.38 – 2.73z. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) 230 (to 2 decimals) (to 2 decimals) b. Compute the coefficient of determination. Comment on the goodness of fit. SST SSR (to 3 decimals) The least squares line provided an pood explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. % of the variability in y has been (to 3 decimals)
When is a variable in a regression statistically significant? 1 When p is more than alpha. 2 When p is more than R2. 3 When p is less than alpha. 4 When p is less than R2. 5 When p is less than the coefficient.
A researcher would like to predict the dependent variable YY from the two independent variables X1X1 and X2X2for a sample of N=20N=20 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.02. X1X1 X2X2 YY 31.4 32.3 25.2 85.4 28.1 53 66.3 42.6 67.4 59 56.1 70.7 52.4 40.4 39.7 86.4 23.7 35 50.9 36.7 34.4 74.4 38 64.9 57.3 47.6 67.4 61.9 33.3 41.3 48.6 49.7 53.6 46.6 47.2 34.5 31.8 38.7 40.9 86 55 74 69.8 27.7 45.9 65.8 48.2 42.4 44.7 55.3 55.1 57.3 27 31.5 60.4 28.1 19.4 65.9 26 13.7 SSreg= SSres= R2= F= P-value = What is your decision for the hypothesis test? Reject the null hypothesis, H0:β1=β2=0 Fail to reject H0H0 What is your final conclusion? The evidence supports the claim that one or more of the regression coefficients is non-zero The evidence supports the claim that all of the regression…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS