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Correlation and Regression Quiz | Correlation and Regression Objective Type Questions and Answers

(21) A measure of the strength of the linear relationship that exists between two variables is called:
[A] Slope
[B] Intercept
[C] Correlation coefficient
[D] Regression equation
Answer: Correlation coefficient
(22) If all the actual and estimated values of Y are same on the regression line, the sum of squares of error will be:
[A] Zero
[B] Maximum
[C] Minimum
[D] Unknown
Answer: Zero

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(23) The sum of the difference between the actual values of Y and its values obtained from the fitted regression line is always:
[A] Zero
[B] Positive
[C] Negative
[D] Minimum
Answer: Zero
(24) The purpose of simple linear regression analysis is to:
[A] Predict one variable from another variable
[B] Replace points on a scatter diagram by a straight-line
[C] Measure the degree to which two variables are linearly associated
[D] Obtain the expected value of the independent random variable for a given value of the dependent variable
Answer: Predict one variable from another variable
(25) Regression coefficient is independent of:
[A] Units of measurement
[B] Scale and origin
[C] Both (a) and (b)
[D] None of these
Answer: Both (a) and (b)
(26) It is possible that two regression coefficients have:
[A] Opposite signs
[B] Same signs
[C] No sign
[D] Difficult to tell
Answer: Same signs
(27) When two regression coefficients bear same algebraic signs, then correlation coefficient is:
[A] Positive
[B] Negative
[C] According to two signs
[D] Zero
Answer: According to two signs
(28) The correlation coefficient is the_______of two regression coefficients:
[A] Geometric mean
[B] Arithmetic mean
[C] Harmonic mean
[D] Median
Answer: Geometric mean
(29) When bXY is positive, then byx will be:
[A] Negative
[B] Positive
[C] Zero
[D] One
Answer: Positive
(30) When regression line passes through the origin, then:
[A] Intercept is zero
[B] Regression coefficient is zero
[C] Correlation is zero
[D] Association is
Answer: Intercept is zero
31 The graphrepresents the relationship that is.:
[A] Linear positive
[B] Linear negative
[C] Non-linear
[D] Curvilinear
Answer: Linear negative
32 The graph represents the relationship that is:
[A] Linear
[B] Non linear
[C] Curvilinear
[D] No relation
Answer: Linear
33 The graph showing the paired points of (Xi, Yi) is called:
[A] Scatter diagram
[B] Histogram
[C] Historigram
[D] Pie diagram
Answer: Scatter diagram
34 The independent variable in a regression line is:
[A] Non-random variable
[B] Random variable
[C] Qualitative variable
[D] None of the above
Answer: Non-random variable
35 In the regression equation Y = a +bX, a is called:
[A] X-intercept
[B] Y-intercept
[C] Dependent variable
[D] None of the above
Answer: Y-intercept
36 In the regression equation X = a + bY, the X is called:
[A] Independent variable
[B] Dependent variable
[C] Qualitative variable
[D] None of the above
Answer: Dependent variable
37 In the regression equation Y = a+bX, the Y is called:
[A] Independent variable
[B] Dependent variable
[C] Continuous variable
[D] None of the above
Answer: Dependent variable
38 When the ratio of variations in the related variables is constant, it is called:
[A] Linear correlation
[B] Nonlinear correlation
[C] Positive correlation
[D] Negative correlation
Answer: Linear correlation
39 If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:
[A] Positive
[B] Negative
[C] Zero
[D] One
Answer: Positive
40 If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
[A] Perfect positive
[B] Perfect negative
[C] Negative
[D] Zero
Answer: Negative

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