For given two regression equations x = - 0.4y + 6.4 and y = - 0.6x + 4.6, the mean of y is


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For given two regression equations x = - 0.4y + 6.4 and y = - 0.6x + 4.6, the mean of y is

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If the two regression coeffici...

Updated On: 27-06-2022

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0`-0.9`0.81

Answer : B

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सहसम्बन्ध गुणांक समाश्रयण गुणांकों का ....... होता है।

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The sign of regression coefficient is ………….. As that of correlation coefficient.

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समाश्रयण गुणांकों का समान्तर माध्य, सहसम्बन्ध गुणांक से ____ होता है।

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If the regression coefficients be given `b_(yx)=1.6 and b_(xy)=0.4` then find the sum of the slopes of the two regression lines.

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If the regression coefficients `b_(xy)=1.6` and `b_(yx)=0.4`, and `theta` is the angle between the two lines of regression, then the value of `tantheta` is

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If two lines of regression are perpendicular, then the correlation coefficient r is

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For given two regression equations x = - 0.4y + 6.4 and y = - 0.6x + 4.6, the mean of y is

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How do you find the mean of a two regression equation?

CONCEPT: Two regression lines always intersect at their mean or average values ( x ¯ , y ¯ . In other words if we solve two regression equations we get the average values of x and y. Hence, option C is the correct answer.

How do you find the mean of X and Y?

To find the arithmetic mean of a data set, all you need to do is add up all the numbers in the data set and then divide the sum by the total number of values.

How do you find X and Y in regression?

The Linear Regression Equation The equation has the form Y= a + bX, where Y is the dependent variable (that's the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.