Chapter14 Multiple Regression and Correlation AnalysisFull description
Report written at the University of Leeds, 2006
statistics
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Draper, N., Smith, H. (1998), Applied Regression Analysis, John Wiley, New York.Descripción completa
Draper, N., Smith, H. (1998), Applied Regression Analysis, John Wiley, New York.Full description
Short Note about correlation
a seminar report
solved mcqs of data structures and algorithms
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Pedagogy MCQSFull description
pedagogy
Between the two concepts of past life regression and reincarnation, most people are probably more familiar with the latter. However, what few realize is that these two concepts are essentially link...Full description
Statistics MCQs on Correlation and Regression
A) 0 to 1 B) 0 to -1 C) -1 to 1 D) 1 to -10
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Question 1: The value of coecient of correlation lies between Question 2: If the scatter diagram is drawn the scatter points lie on a straight line then it indicate a) Skewness b) Perfect correlation c) No correlation d) None of the above
Question 3: In the model Y = mX + a,Y is also known as the: A) Predictor variable B) Independent variable C) Predicted (dependent) variable D) Explanatory variable
Question 4:
The regression equation is the line with slope a passing through A) The point (X, Y ) B) The point (x, y) C) The point (y, x) D) The point (Y , X )
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Question 5: If the regression equation is equal to Y
= 23.6 − 54.2X , then 23.6 is the while -54.2 is the of the regression line. A) Slope, intercept B) Intercept, slope C) Slope, regression coecient D) Radius, intercept
Question 6: The sample coecient of correlation A) Has the same sign as the slope, i.e. β B) Can range from -1.00 up to 2.00 C) Is also called Peterson's r. D) Can range from -3.00 up to 2.00 1
Muhammad Imdadullah
Statistics MCQs on Correlation and Regression
Question 7:
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If the equation of regression line is y = 5, then what result will you take out from it? A) The line passes through origin B) The line passes through (5, 0) C) The line is parallel to y-axis D) The line is parallel to x-axis
Question √8: Which of the following relationship holds
A) r13.2 = √ β13.2 × β31.2 B) r13.2 = √β12.3 × β21.3 C) r13.2 = β23.1 × β32.1 D) All of the above
Question 9:
In regression equation y = a + β x + e, both x and y variables are A) Random B) Fixed C) x is xed and y is random D) y is xed and x is random E) none of above
Question 10:
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If R2 is zero, that is no collinearity/ Multicollinearity, the variance ination factor (VIF) will be A) Zero B) One C) Two D) None of the above.
Question 11:
The method of least squares nds the best t line that the error between observed and estimated points on the line A) Maximizes B) Minimizes C) Reduces to zero D) Approaches to innity Answers: 1) C 6) A 11) B
2) B 7) C
3) C 8) A
4) A 9) C
5) B 10) A
2
Muhammad Imdadullah
Statistics MCQs on Correlation and Regression Promote my web-site by commenting, visiting and reading the content of my site. Your participation will help us to provide you quality content.
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