11. What does the least squares method do exactly?a. Minimizes the errors between the actual model values and the estimated modelvalues.b. Maximizes the distance between the parameters and the estimators.c. Finds the best regression model.d. Minimizes the distance between the parameters and the estimators.e. All the above.12. Which of the following is an assumption of T-test for testing several populations?a. All the random variables within the k populations follow a normal distributions.b. The samples associated with each population are randomly selected and areindependent from all other samples.c. The variances of all random variables should be homogenous.d. The correlation coefficient between the random variablescshould be significant.e. All of the above13. In a one-way ANOVA, which of the following statements is correct?There are multiple interactions.b. The error sum square is moderately small in one-way ANOVAThe interaction can increased the efficiency of one-way ANOVA .d. The model cannot be included any interaction.The model works exactly t-test works.a.с.е.14. Which of the following is an assumption of two-way ANOVA with interaction?All the random variables within the k populations follow the normal distributions.b. at least two observations in each cell.The samples associated with each population are randomly selected and areindependent from all other samples.d. The variances of all random variables should be homogenous.e. There should be no significant outliersa.с.

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11. What does the least squares method do exactly? a. Minimizes the errors between the actual model values and the estimated model values. b. Maximizes the distance between the parameters and the estimators. c. Finds the best regression model. d. Minimizes the distance between the parameters and the estimators. e. All the above.

11. What does the least squares method do exactly? a. Minimizes the errors between the actual model values and the estimated model values. b. Maximizes the distance between the parameters and the estimators. c. Finds the best regression model. d. Minimizes the distance between the parameters and the estimators. e. All the above.

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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