If byx and bxy are negative, r is
Correlation coefficient r lie between the regression coefficients byx and bxy
Since the correlation coefficient r cannot be greater than 1 numerically, the product of the regression must
The correlation coefficient r is the __________ of the two regression coefficients byx and bxy
Which are is true
Maximum value of Rank Correlation coefficient is
The partial correlation coefficient lies between
r12 is the correlation coefficient between
r12 is the same as r21
In case ‘Age and income’ correlation is
In case ‘Speed of an automobile and the distance required to stop the car often applying brakes’ – correlation is
In case ‘Sale of woolen garments and day temperature’–––– correlation is
In case ‘Sale of cold drinks and day temperature’ –––––– correlation is
In case of ‘Production and price per unit’ – correlation is
If slopes at two regression lines are equal them r is equal to
Co–variance measures the joint variations of two variables.
The minimum value of correlation coefficient is
The maximum value of correlation coefficient is
When r = 0 , the regression coefficients are
For the regression equation of Y on X , 2x + 3Y + 50 = 0. The value of bYX is
In Method of Concurrent Deviations, only the directions of change (Positive direction / Negative direction) in the variables are taken into account for calculation of
In calculating the Karl Pearson’s coefficient of correlation it is necessary that the data should be of numerical measurements. The statement is
Correlation coefficient can be found out by
Scatter diagrams are used to demonstrate correlation between two quantitative variables. Spearman's Rank correlation coefficient is a technique which can be used to summarize the strength and direction of a relationship between two variables.
In rank correlation coefficient the association need not be linear
Great advantage of _________ is that it can be used to rank attributes which can not be expressed by way of numerical value.
Correlation coefficient is ___________ of the units of measurement.
Rank correlation coefficient lies between
A coefficient near +1 indicates tendency for the larger values of one variable to be associates with the larger values of the other
Correlation methods are used to study the relationship between two time series of data which are recorded annually, monthly, weekly, daily and so on.
The value of correlation coefficient lies between
In rank correlation coefficient only an increasing/decreasing relationship is required
Correlation coefficient is a pure number
Age of Applicants for life insurance and the premium of insurance – correlations are
The sum of the difference of rank is
Karl Pearson’s coefficient is defined from
Covariance measures __________ variations of two variables.
For y = 25, what is the estimated value of x, from the following data:
Correlation coefficient between two variables is a measure of their linear relationship
The following data relate to the heights of 10 pairs of fathers and sons:
(175, 173), (172, 172), (167, 171), (168, 171), (172, 173), (171, 170), (174, 173), (176, 175), (169, 170), (170, 173)
The regression equations of height of son on that of father is given by
When high values of one variable are associated with high values of the other & low values of one variable are associated with low values of another, then they are said to be