Since Blood Pressure of a person depends on age, we need consider
If for two variable x and y, the covariance, variance of x and variance of y are 40, 16 and 256 respectively, what is the value of the correlation coefficient?
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The difference between the observed value and estimated value in regression analysis is known as
The method applied for deriving the regression equations is known as
If the relationship between two variables x and y in given by 2x+3y+4=0, then the value of the correlation coefficient between x and y is
Product moment correlation coefficient may be defined as the ratio of
When r = 1, all the points in a scatter diagram would lie
What is the quickest method to find correlation between two variables?
If the value of correlation coefficient is positive, then the points in a scatter diagram tend to cluster
If there is a perfect disagreement between the marks in Geography and Statistic, then what would be the value of rank correlation coefficient?
The coefficient of correlation between two variables
For finding correlation between two attributes, we consider
In case the correlation coefficient between two variables is 1, the relationship between the two variables would be
For finding the degree of agreement about beauty between two judges in a Beauty Contest, we use
When we are not concerned with the magnitude of the two variables under discussion, we consider
What are the limits of the correlation coefficient?
What are the limits of the coefficient of concurrent deviation?
Product moment correlation coefficient is considered for
The correlation between the speed of an automobile and the distance travelled by it after applying the brakes is
For a bivariate frequency table having (p+q) classification the total number of cells is
If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation is
The correlation between shoe-size and intelligence is
Some of the cell frequencies in a bivariate frequency table may be
For a p x q bivariate frequency table, the maximum number of marginal distributions is