1. A regression of weekly shopping trip frequency on annual income (data entered inthousands of dollars) is performed on data collected from 24 respondents. Theresults are summarized below:Intercept0.46Slope0.19(Continued)Sum of squaresdfMean squareRegressionResidual1.7Total2.3(a) Fill in the blanks in the ANOVA table.

Answered: Image /qna-images/answer/49093e7b-7192-4b6b-b63b-22f9de7b3059.jpg

Answered: 1. A regression of weekly shopping trip…

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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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 10.782 10.782 2.32 0.129 Residual Error 342 1589.274 4.647 Total 343 1600.056 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is The p-value is Choose the conclusion of this test using a 5%5% significance level. A) Do not reject H0H0. We did not find evidence that the model is effective. B) Do not reject H0H0. We did not find evidence that the model is not effective. C) Reject H0H0. The model is effective. D) Reject H0H0. The model is not effective.
Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 358.57 358.57 13.05 0.000 Residual Error 359 9865.32 27.48 Total 360 10223.89 The -statistic is ______.The -value is _______. Choose the conclusion of this test using a 5% significance level. 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. . Reject H0. The model is not effective. . Reject H0.The model is effective.
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 7575 total observations. Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size)Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size) ANOVA dfdf SSSS MSMS F� Significance F� Regression 22 302,698.1946302,698.1946 151,349.0973151,349.0973 16.033416.0334 1.7407E-061.7407E-06 Residual 7272 679,651.5550679,651.5550 9439.60499439.6049 Total 7474 982,349.7496982,349.7496 Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places.
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Please fill in the blanks and explain.
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 10.351 10.351 2.89 0.090 Residual Error 342 1225.044 3.582 Total 343 1235.395 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is .
d) Hence test whether ? is significant. Give reasons for your answer.
See the attached image for the introduction. Question: Fill in a blank ANOVA table.
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.
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 293.3 293.3 2.01 0.158 Residual Error 174 25386.6 145.9 Total 175 25679.9 The F-statistic is _____________.The p-value is ___________________
Compute the predicted value of IPT for the mean value of PSS (static facial expressions (higher PSS)) The regression formula is: The terms of the equation and their values are:
Calculate R2 and R2auj,, Showing your formulas clearly.

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