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Given the following data, what will be the possible yield when the rainfall is 29. Details Rainfall Production Mean 25 40 units per acre Standard Deviation 3 6 - Business Mathematics and Statistics

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प्रश्न

Given the following data, what will be the possible yield when the rainfall is 29.

Details Rainfall Production
Mean 25`` 40 units per acre
Standard Deviation 3`` 6 units per acre

Coefficient of correlation between rainfall and production is 0.8.

योग
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उत्तर

`bar"X"` = 25, σx = 3, `bar"Y"` = 40, σy = 6, r = 0.8

byx = `"r"(sigma_"y")/(sigma_"x") = 0.8 xx 6/3` = 1.6

`"Y" - bar"Y" = "b"_"yx"("X" - bar"X")`

Y − 40 = 1.6 (X − 25)

Y − 40 = 1.6X − (1.6)(25)

Y − 40 = 1.6X − 40

∴ Y = 1.6X

To find the yield when the rainfall is 29″

Put X = 29 in the above equation we get yield,

Y = 1.6 × 29 = 46.4 units/acre

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Regression Analysis
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 9: Correlation and Regression Analysis - Exercise 9.2 [पृष्ठ २२७]

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सामाचीर कलवी Business Mathematics and Statistics [English] Class 11 TN Board
अध्याय 9 Correlation and Regression Analysis
Exercise 9.2 | Q 5 | पृष्ठ २२७

संबंधित प्रश्न

From the data given below:

Marks in Economics: 25 28 35 32 31 36 29 38 34 32
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Find

  1. The two regression equations,
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  3. The mostly likely marks in Statistics when the marks in Economics is 30.

A survey was conducted to study the relationship between expenditure on accommodation (X) and expenditure on Food and Entertainment (Y) and the following results were obtained:

Details Mean SD
Expenditure on Accommodation (₹) 178 63.15
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Coefficient of Correlation 0.43

Write down the regression equation and estimate the expenditure on Food and Entertainment, if the expenditure on accommodation is ₹ 200.


The two regression lines were found to be 4X – 5Y + 33 = 0 and 20X – 9Y – 107 = 0. Find the mean values and coefficient of correlation between X and Y.


The regression coefficient of X on Y


The lines of regression of X on Y estimates


The term regression was introduced by


X and Y are a pair of correlated variables. Ten observations of their values (X, Y) have the following results. ∑X = 55, ∑XY = 350, ∑X2 = 385, ∑Y = 55, Predict the value of y when the value of X is 6.


Find the line regression of Y on X

X 1 2 3 4 5 8 10
Y 9 8 10 12 14 16 15

Using the following information you are requested to

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  2. Estimate the level of defective parts delivered when inspection expenditure amounts to ₹ 82
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The following information is given.

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Standard Deviation 5 `40/3`

Coefficient of correlation between X and Y is `8/15`. Find

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