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The product of regression coefficients of y on x and regression coefficient of x on y is always less than or equal to 1
Also, the sign of both coefficients should be the same
So, there is only one pair which has to satisfy the given condition
1) Variance is unaffected by change of origin and change of scale.
2) Coefficient of variance is independent of the unit of observations.
Which of the statements given above is/are correct?
Case -1: Variance is independent of the change of origin as the change in origin is uniformly added to all the values and hence the mean also and hence, when is calculated, it remains unaffected.
Case -2: But, change of scale alters all values unevenly and hence, variation changes.
Case – 3: The coefficient of variance is standard deviation by mean which doesn't depend on the unit of observation.
So, Statement 1 is incorrect Statement 2 is correct
Marks group: 5-10 10-15 15-20 20-25 25-30 30-35 35-40 40-45
No of Student: 5 6 15 10 5 4 2 1
The cumulative frequency distribution is as given below:
Here, because we calculate . So first we find
We have,
The cumulative frequency just greater than is 41. The corresponding class is 25-30. It is the upper quartile class.
Lower limit =25, frequency = 5, width = 5
And cumulative frequency of the class preceding the quartile class = 36
The second quartile, Q2, is also the median. The upper or third quartile, denoted as Q3, is the central point that lies between the median and the highest number of the distribution.
Regression equation of x on y and regression equation of y on x are 3x+y=12 and x+2y=14 respectively then find the sum of mean values of x and y.
Correct (-)
Wrong (-)
Skipped (-)