1The K3 Estate Ltd is into estate development operating around Madina and Adenta areas. Thecompany wants to know whether Monthly Income, Age and Educational level can be used todetermine House Size of their customers. As a Quantitative Analyst use the followingRegression output in the tables to answer the questions that follow:SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R. SquareStandard ErrorObservationsANOVARegressionResidualTotalInterceptAgeEducationLevelMonthlyIncome0.8640540.5945441.006797SSMSF14.9318 4.977266 4.9102861.01364135 5.068203820StandardErrorSignificanceF0.049566Lower95%Upper95%2.688690.000473 0.087385Coefficients1 Stat P-value-0.13123 1.096997 -0.11963 0.909436 -2.951150.043929 0.0169050.301484 -0.31237 0.767365 -0.86916 0.6808140.000771 0.000269 2.865152 0.035194 7.93E-05 0.001463 (iv)(v)(vi)(vii)Which of the independent variable(s) is/are significant in explaining the changes inHouse Sizes and why?If age changes by 1 unit, state the range of values within which House Size will fallfor 95% confidence level.Test the significance of Monthly income at 5% level. Interpret your results.Predict the Size of a House if Monthly Income of a customer of K3 Company Ltdincreases by Ghs500, Age by 2 years and Education level by 2 units.

There is a statistics summary output of a multiple regression model.Which is used to examine the…

Answered: SUMMARY OUTPUT Regression Statistics…

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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Regression. A coach wants to see the relationship between the statistics of practice games and official games of a local soccer team. A sample of 24 players was used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Regression Statistics Multiple R *** R Square 0.70524 Adjusted R Square 0.668395 Standard Error 8.703633 Observations 24 Coefficients Standard t Stat P-value Lower Upper 95% Error 95% Intercept 40.63461 8.506861 4.794266 0.001366 21.1673 60.40101 Midterm 0.718205 0.174917 4.379587 0.002365 0.362046 1.169078
X 0 1 2 3 4 P(x) 0.4 0.1 0.1 0.1 0.3 Please find the variance and round to one decimal place as needed.
What percentage of the variability in the number of delivery days for a car is NOT explained by knowing the number of factory options? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Intercept Factory Options 22.31% 72.16% 88.14% 77.69% O 4.64% 0.8814 0.7769 0.7216 4.6400 10 Coefficients 29.73333 3.284848 Standard Error 2.991435587 0.482113498
interpret the spss output below
The following data gives the number of employees at the bookstore and the number of minutes students wait in line to buy books at the beginning of the term. The independent variable is the number of employees and the dependent variable is the number of minutes. What is the y intercept? SSxx = 56.857; SS=2095.714; SSxy=-322.571 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square X36899 0.96 0.93 0.91 y 67 54 47 33 31 25 12
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Using results from the regression model, discuss whether you would have confidence in this multiple regression model to predict expected salary based on GPA, age, and gender?
Use the Math_achievement.sav file. As part of a large national education study, a researcher is investigating the relationship between math achievement and socioeconomic status. Data have been collected on 999 students enrolled in secondary education. Perform at test for independent groups for Math by gender. What is H,? The mean of group 0 is the same as the mean of group 1 The mean of group 0 is not the same as the mean of group 1 The mean math achievement score for boys is not different than the mean math achievement score for girls The mean math achievement score for boys is different than the mean math achievement score for girls The mean math achievement score for boys is the same as the mean math achievement score for girls The mean math achievement score for boys is not the same as the mean math achievement score for girls The mean math achievement score for boys is equal to the mean math achievement score for girls The mean math achievement score for boys is not equal to the…

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SUMMARY OUTPUT Regression Statistics Multiple R R. Square Adjusted R Square Standard Error Observations 0.864054 0.594544 1.006797