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Corelation and Regression
In regression analysis, the variable that is used to explain the change in the outcome of an experiment, orsome natural process, is called :
the x-variable
the independent variable
the predictor variable
all of the above (a-c) are correct
Author:
rikazzz
Comment
Corelation and Regression
Which of the following measurement scales is required for the valid calculation of spearman correlationcoefficient?
Ordinal
Interval
Nominal
Ratio
Author:
rikazzz
Comment
Corelation and Regression
Which of the following is the highest range of r?
0 and 1
1 and 0
1 and 1
None of these
Author:
rikazzz
Comment
Corelation and Regression
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:
the sign of the slope will change
the magnitude of the slope will change
both a and b are correct
neither a nor b are correct
Author:
rikazzz
Comment
Corelation and Regression
The ratio of the average deviations is called:
Regression
Correlation
Skewness
All of these
Author:
rikazzz
Comment
Corelation and Regression
If two variables, x and y, have a very strong linear relationship, then :
there is evidence that x causes a change in y
there is evidence that y causes a change in x
there might not be any causal relationship between x and y
None of these alternatives is correct.
Author:
rikazzz
Comment
Corelation and Regression
Suppose that you have carried out a regression analysis where the total variance in the response is 133452 and the correlation coefficient was 0.85. The residual sums of squares is:
37032.92
20017.8
113434.2
96419.07
Author:
rikazzz
Comment
Corelation and Regression
In the case of an algebraic model for a straight line, if a value for the x variable is specified, then:
the exact value of the response variable can be computed
the computed response to the independent value will always give a minimal residual
the computed value of y will always be the best estimate of the mean response
none of these alternatives is correct.
Author:
rikazzz
Comment
Corelation and Regression
If the coefficient of determination is a positive value, then the regression equation:
must have a positive slope
must have a negative slope
could have either a positive or a negative slope
must have a positive y intercept
Author:
rikazzz
Comment
Corelation and Regression
Which of the following measurement scales is required for the valid calculation of Karl Pearson’scorrelation coefficient?
Ordinal
Interval
Ratio
Nominal
Author:
rikazzz
Comment
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