MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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1.) what factor/ condition is the biggest hindrance in showing causality in an experiment?
2.) in linear multiple regression, what is problematic regarding the interpretation of R^2
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- A heteroscedastic error pattern can ADVERSELY affect the ability to make inferences from a regression model. True Falsearrow_forwardHow could we provide evidence for the positive association between two variables through linear regression model and hypothesis testing? What are the steps?arrow_forwardThe following table shows the starting salary and profile of a sample of 10 employees in a certain call center agency. Run a multiple regression analysis with starting salary as the dependent variable (pesos) and GPA, years of experience and civil service ratings as the independent variables. Use .05 level of significance.What is the equation of the resulting multiple linear regression? starting_salary = 3008.61 + 48.65*GPA + 94.79*years_of_experience + 27.36*civil_service_ratings starting_salary = 15000.00 + 48.65*GPA + 94.79*years_of_experience + 27.36*civil_service_ratings starting_salary = 15001.00 + 41.43*GPA + 84.71*years_of_experience + 37.32*civil_service_ratings starting_salary = 2366.77 + 130.25*GPA + 396.39*years_of_experience + 21.67*civil_service_ratingsarrow_forward
- True or False: Extrapolation is using the least square regression line for values outside of our given range of data.arrow_forwardFrom the article “Association of cognitive functioning with retinal nerve fiber layer thickness” by van Koolwijk et al., in Investigative Ophthalmology & Visual Science, October 2009, Vol. 50, No. 10, below is table 2 showing the results of fitting several multiple linear regression models for different response variables. Write down the fitted model corresponding to the last row of the table. You can leave the intercept as hatB0. Interpret the coefficient values corresponding to the RNFL Thickness and Male variables.arrow_forward7.Why is the strength of the correlation between Y and X important in regression analysis?arrow_forward
- What are the different measures used for the OLS estimate of the multiple regression line?arrow_forwardWhen comparing different multiple linear regression models to determine which is better for predicting a response variable, Y, why should we use the adjusted-R2 values instead of the plain R2 values?arrow_forward
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