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Free download in PDF Regression Objective Type Questions and Answers for competitive exams. These short objective type questions with answers are very important for Board exams as well as competitive exams. These short solved questions or quizzes are provided by Gkseries.
(21)
In regression, the equation that describes how the response variable (y) is related to the explanatory variable (x) is:
[A]
the correlation model
[B]
the regression model
[C]
used to compute the correlation coefficient
[D]
None of these alternatives is correct
Answer: the regression model
(22)
SSE can never be
[A]
larger than SST
[B]
smaller than SST
[C]
equal to 1
[D]
equal to zero
(23)
If two variables, x and y, have a very strong linear relationship, then
[A]
there is evidence that x causes a change in y
[B]
there is evidence that y causes a change in x
[C]
there might not be any causal relationship between x and y
[D]
None of these alternatives is correct
Answer: there might not be any causal relationship between x and y
(24)
If the coefficient of determination is equal to 1, then the correlation coefficient
[A]
must also be equal to 1
[B]
can be either -1 or +1
[C]
can be any value between -1 to +1
[D]
must be -1
Answer: can be either -1 or +1
(25)
In regression analysis, if the independent variable is measured in kilograms, the dependent variable
[A]
must also be in kilograms
[B]
must be in some unit of weight
[C]
cannot be in kilograms
[D]
can be any units
Answer: must also be in kilograms
(26)
In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of determination is
[A]
0.6667
[B]
0.6000
[C]
0.4000
[D]
All of the above
(27)
If the correlation coefficient is a positive value, then the slope of the regression line
[A]
must also be positive
[B]
can be either negative or positive
[C]
can be zero
[D]
can not be zero
Answer: must also be positive
(28)
If the coefficient of determination is 0.81, the correlation coefficient
[A]
is 0.6561
[B]
could be either + 0.9 or - 0.9
[C]
must be positive
[D]
must be negative
Answer: could be either + 0.9 or - 0.9
(29)
A fitted least squares regression line
[A]
may be used to predict a value of y if the corresponding x value is given
[B]
is evidence for a cause-effect relationship between x and y
[C]
can only be computed if a strong linear relationship exists between x and y
[D]
None of these alternatives is correct
Answer: may be used to predict a value of y if the corresponding x value is given
(30)
Assume the same variables as in question 28 above; height is measured in feet and weight is measured in pounds. Now, suppose that the units of both variables are converted to metric (meters and kilograms). The impact on the slope is:
[A]
the sign of the slope will change
[B]
the magnitude of the slope will change
[C]
both a and b are correct
[D]
neither a nor b are correct
Answer: the magnitude of the slope will change
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