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If two regression lines are x y = 1 and x - y = 1, then mean values of x and y are *?
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If two regression lines are x y = 1 and x - y = 1, then mean values ...
Explanation:

The regression lines of the given equations are:

- x + y = 1
- x - y = 1

Finding Mean Values of x and y:

To find the mean values of x and y, we need to calculate the sum of all x-values and y-values and divide them by the total number of observations.

Let's assume that we have n observations for x and y.

- Sum of all x-values = Σx
- Sum of all y-values = Σy

The total number of observations will be the same for both x and y, so we can write:

- Total number of observations = n

Then, the mean values of x and y can be calculated using the following formulas:

- Mean value of x = Σx / n
- Mean value of y = Σy / n

Solving for Mean Values:

Let's solve the given equations to find the values of x and y.

- x + y = 1
- x - y = 1

Adding both equations, we get:

- 2x = 2
- x = 1

Substituting the value of x in any of the equations, we get:

- 1 + y = 1
- y = 0

Therefore, the mean value of x is 1 and the mean value of y is 0.

Conclusion:

The mean value of x is 1 and the mean value of y is 0 for the given regression lines.
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If two regression lines are x y = 1 and x - y = 1, then mean values of x and y are *?
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If two regression lines are x y = 1 and x - y = 1, then mean values of x and y are *? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about If two regression lines are x y = 1 and x - y = 1, then mean values of x and y are *? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for If two regression lines are x y = 1 and x - y = 1, then mean values of x and y are *?.
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