(Direction 140) Write the correct answers. Each question carries 1 mark.
Q. Bivariate Data are the data collected for
The primary purpose of bivariate data is to compare the two sets of data or to find a relationship between the two variables.
For a bivariate frequency table having (p + q) classification the total number of cells 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
For a p x q classification of bivariate data, the maximum number of conditional distributions is
Correlation analysis aims at
Regression analysis is concerned with
What is spurious correlation?
Scatter diagram is considered for measuring
If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation is
If the plotted points in a scatter diagram are evenly distributed, then the correlation is
If all the plotted points in a scatter diagram lie on a single line, then the correlation is
The correlation between shoesize and intelligence is
The correlation between the speed of an automobile and the distance travelled by it after applying the brakes is
The correct option is Option C.
When brakes are applied to a moving vehicle, the distance it travels before stopping is called stopping distance. It is an important factor for road safety and depends on the initial velocity (v0) and the braking capacity, or deceleration, a that is caused by the braking.
Scatter diagram helps us to
Pearson’s correlation coefficient is used for finding
Product moment correlation coefficient is considered for
If the value of correlation coefficient is positive, then the points in a scatter diagram tend to cluster
A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called:
Product moment correlation coefficient may be defined as the ratio of
The correlation coefficient is defined as the covariance divided by the standard deviation of the variables. The following formula is used to calculate the Pearson r correlation:
The covariance between two variables is
The coefficient of correlation between two variables
What are the limits of the correlation coefficient?
In case the correlation coefficient between two variables is 1, the relationship between the two variables would be
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
For finding correlation between two attributes, we consider
For finding the degree of agreement about beauty between two Judges in a Beauty Contest, we use
If there is a perfect disagreement between the marks in Geography and Statistics, then what would be the value of rank correlation coefficient?
When we are not concerned with the magnitude of the two variables under discussion, we consider
What is the quickest method to find correlation between two variables?
What are the limits of the coefficient of concurrent deviations?
If there are two variables x and y, then the number of regression equations could be
Since Blood Pressure of a person depends on age, we need consider
The method applied for deriving the regression equations is known as
The difference between the observed value and the estimated value in regression analysis is known as
The errors in case of regression equations are
The regression line of y on is derived by
What are the limits of the two regression coefficients?
The two lines of regression become identical when
The regression coefficients remain unchanged due to a
The regression coefficients remain unchanged due to a shift of origin but change due to a shift of scale. (mea of "x", mean of "y"), ... If both the regression coefficients are negative, r would be negative and if both are positive, r would assume a positive value.
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