Refer to the ANOVA table for this regression. SourceSSd.f.MSRegression1,164,5785232,916Residual1,500,6894533,349Total2,665,26750 (a) State the degrees of freedom for the F test for overall significance.

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Answered: Refer to the ANOVA table for this…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Source	SS	d.f.	MS
Regression	1,164,578	5	232,916
Residual	1,500,689	45	33,349
Total	2,665,267	50

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Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.549 10.549 2.32 0.129 Residual Error 342 1555.074 4.547 Total 343 1565.623 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is . SHOW HINT LINK TO TEXT Choose the conclusion of this test using a 5% significance level. Reject H0. The model is effective. Reject H0. The model is not effective. Do not reject H0. We did not find evidence that the model is not effective. Do not reject H0. We did not find evidence that the model is effective.
Last year, TimeWise conducted a study that aimed at predicting the waiting time (in minutes) at the checkout line of the Ranch 99 Supermarket in South Jakarta based on the number of customers in one particular month. Using the simple regression method on a dataset with a sample size of 30, the regression output tables are given below: SUMMARY OUTPUT Regression Statistics Multiple R 0.88728417 R Square 0.7872732 Adjusted R Square 0.77967582 Standard Error 0.59521532 Observations 30 ANOVA MS Significance F Regression 36.7121241 36.7121241 103.6242271 6.48782E-11 Residual 28 9.91987592 0.35428128 Total 29 46.632 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept -0.4479791 0.2782914 -1.6097484 0.118670876 -1.018033233 0.12207495 Customers 0.12847188 0.01262053 10.1795986 6.48782E-11 0.102619905 0.15432385 a. Determine the simple regression model to predict the waiting time b. Interpret the meaning of the regression coefficient of the independent variable c. What is…
Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.964 10.964 3.02 0.083 Residual Error 342 1241.460 3.630 Total 343 1252.424 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is Enter your answer; F-statistic .The p-value is Enter your answer; p-value . Choose the conclusion of this test using a 5% significance level. Reject H0. The model is not effective. Do not reject H0. We did not find evidence that the model is not effective. Reject H0. The model is effective. Do not reject H0. We did not find evidence that the model is effective.
5
A One-Way ANOVA yields the following results. Should the F-test be followed up by a post-hoc analysis? Explain your decision. (Use a = .05).
Second slide is the first part of the question and first slide is the second part of the question.
Use the following ANOVA table to answer the question. Source Regression Error Total MS SS 355.22 76.38 431.60 DF 177.61 7 10.91 What is the value of s?? O 177.61 10.91 76.38 335.05
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
A homeless shelter program wants to know if receipt of job training program (yes, no) is related to program satisfaction (measured on a multi-item, Likert scale ). What type of statistical test should be used? Group of answer choices Independent t-test Dependent t-test ANOVA Correlation Analysis Chi Square
An experiment was carried out to compare the sound distortion produced by 4 different types of coating on magnetic tape. The ANOVA table for this data is given below, where X indicates a missing value. Source Degrees of Freedom Sum of Squares Mean Squares IF Treatment X 14.49 X Error X X X Total 49 165.69 Compute the F statistic. Give your answer to 2 decimal places.
Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 9090 total observations. Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size)Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size) ANOVA dfdf SSSS MSMS F� Significance F� Regression 22 306,443.7975306,443.7975 153,221.8988153,221.8988 21.727421.7274 2.2211E-082.2211E-08 Residual 8787 613,525.5190613,525.5190 7052.01757052.0175 Total 8989 919,969.3165919,969.3165 What percent of variation in housing prices is explained by the number of bedrooms and lot size? Round your answer to two decimal places
Which statistical method can be considered as an extension of One-Way ANOVA to incorporate a "covariate"? a. two way ANOVA b. ANCOVA c. Normality Testing d. Covariance

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Refer to the ANOVA table for this regression. Source SS d.f. MS Regression 1,164,578 5 232,916 Residual 1,500,689 45 33,349 Total 2,665,267 50 (a) State the degrees of freedom for the F test for overall significance.