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From the data given below related to sale and profit of 160 firm. (a) obtain two regression line (B) estimate the probable sale when a firm earns profit of rs 40000 (C) calculate coefficient of correlation based on bxy and byx?
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From the data given below related to sale and profit of 160 firm. (a) ...
Two Regression Lines
To obtain the two regression lines, we start with the equations:
- Regression of Sales on Profit (S|P): S = a + bP
- Regression of Profit on Sales (P|S): P = c + dS
Where:
- S = Sales
- P = Profit
- a, b, c, d are constants estimated from the data.
Estimate Sales for Profit of Rs 40,000
Using the regression line of sales on profit, we can substitute P = 40,000 into the regression equation:
- Estimated Sales (S) = a + b(40,000)
Calculating this gives the probable sales figure when a firm earns a profit of Rs 40,000.
Coefficient of Correlation (r)
The coefficient of correlation can be derived from the slopes of the regression lines (bxy and byx) using the formula:
- r = √(bxy * byx)
Where:
- bxy = Regression coefficient of Y on X (Sales on Profit)
- byx = Regression coefficient of X on Y (Profit on Sales)
The correlation coefficient (r) ranges from -1 to +1, indicating the strength and direction of the linear relationship between sales and profit.
Explanation
- A positive value of r indicates that as profit increases, sales tend to increase.
- A negative value indicates an inverse relationship.
- A value close to 1 or -1 signifies a strong relationship, while a value close to 0 indicates a weak relationship.
By following these steps, one can effectively analyze the relationship between sales and profit for the firms in question.
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From the data given below related to sale and profit of 160 firm. (a) obtain two regression line (B) estimate the probable sale when a firm earns profit of rs 40000 (C) calculate coefficient of correlation based on bxy and byx?
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