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Tamil Nadu Board of Secondary EducationHSC Commerce कक्षा ११

HSC Commerce कक्षा ११ - Tamil Nadu Board of Secondary Education Question Bank Solutions for Business Mathematics and Statistics

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Business Mathematics and Statistics
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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
Expenditure on Food and Entertainment (₹) 47.8 22.98
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.

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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For 5 observations of pairs of (X, Y) of variables X and Y the following results are obtained. ∑X = 15, ∑Y = 25, ∑X2 = 55, ∑Y2 = 135, ∑XY = 83. Find the equation of the lines of regression and estimate the values of X and Y if Y = 8; X = 12.

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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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.

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The equations of two lines of regression obtained in a correlation analysis are the following 2X = 8 – 3Y and 2Y = 5 – X. Obtain the value of the regression coefficients and correlation coefficients.

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The regression coefficient of X on Y

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The regression coefficient of Y on X

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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When one regression coefficient is negative, the other would be

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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If X and Y are two variates, there can be at most

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The lines of regression of X on Y estimates

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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If the regression coefficient of Y on X is 2, then the regression coefficient of X on Y is

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The lines of regression intersect at the point

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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The term regression was introduced by

[9] Correlation and Regression Analysi
Chapter: [9] Correlation and Regression Analysi
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Express the following as the sum or difference of sine or cosine:

`sin  "A"/8  sin  (3"A")/8`

[4] Trigonometry
Chapter: [4] Trigonometry
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Express the following as the sum or difference of sine or cosine:

cos(60° + A) sin(120° + A)

[4] Trigonometry
Chapter: [4] Trigonometry
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Express the following as the sum or difference of sine or cosine:

`cos  (7"A")/3 sin  (5"A")/3`

[4] Trigonometry
Chapter: [4] Trigonometry
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Express the following as the sum or difference of sine or cosine:

cos 7θ sin 3θ

[4] Trigonometry
Chapter: [4] Trigonometry
Concept: undefined >> undefined

Express the following as the product of sine and cosine.

sin A + sin 2A

[4] Trigonometry
Chapter: [4] Trigonometry
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Express the following as the product of sine and cosine.

cos 2A + cos 4A

[4] Trigonometry
Chapter: [4] Trigonometry
Concept: undefined >> undefined

Express the following as the product of sine and cosine.

sin 6θ – sin 2θ

[4] Trigonometry
Chapter: [4] Trigonometry
Concept: undefined >> undefined

Express the following as the product of sine and cosine.

cos 2θ – cos θ

[4] Trigonometry
Chapter: [4] Trigonometry
Concept: undefined >> undefined
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