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The data below give the dusted gross income and the amount of Bemized deductions taken by taxpayeny. Data wereported You may

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X Y XY
22 9.6 211.2 484 92.16
27 9.6 259.2 729 92.16
32 10.1 323.2 1024 102.01
48 11.1 532.8 2304 123.21
65 13.5 877.5 4225 182.25
85 17.7 1504.5 7225 313.29
120 23.5 2820 14400 552.25
Ʃx = 399
Ʃy = 95.1
Ʃxy = 6528.4
Ʃx² = 30391
Ʃy² = 1457.33
Sample size, n = 7
x̅ = Ʃx/n = 399/7 = 57
y̅ = Ʃy/n = 95.1/7 = 13.58571429
SSxx = Ʃx² - (Ʃx)²/n = 30391 - (399)²/7 = 7648
SSyy = Ʃy² - (Ʃy)²/n = 1457.33 - (95.1)²/7 = 165.3285714
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = 6528.4 - (399)(95.1)/7 = 1107.7

Slope, b = SSxy/SSxx = 1107.7/7648 = 0.14

y-intercept, a = y̅ -b* x̅ = 13.58571 - (0.14)*57 = 5.33

Regression equation :

ŷ = 5.33 + (0.14) x

Predicted value of y at x = 47.5

ŷ = 5.33 + (0.14) * 47.5 = 11.98

Sum of Square error, SSE = SSyy -SSxy²/SSxx = 165.32857 - (1107.7)²/7648 = 4.89456

Standard error, se = √(SSE/(n-2)) = √(4.89456/(7-2)) = 0.9894

a)

Critical value, t_c = T.INV.2T(0.05, 5) = 2.5706

95% Confidence interval :

Lower limit = ŷ - tc*se*√((1/n) + ((x-x̅)²/(SSxx)))

= 11.98 - 2.5706*0.9894*√((1/7) + ((47.5 - 57)²/(7648))) = 10.98

Upper limit = ŷ + tc*se*√((1/n) + ((x-x̅)²/(SSxx)))

= 11.98 + 2.5706*0.9894*√((1/7) + ((47.5 - 57)²/(7648))) = 12.98

b)

95% Prediction interval :

Lower limit = ŷ - tc*se*√(1 + (1/n) + ((x-x̅)²/(SSxx)))

= 11.98 - 2.5706*0.9894*√(1 + (1/7) + ((47.5 - 57)²/(7648))) = 9.25

Upper limit = ŷ + tc*se*√(1 + (1/n) + ((x-x̅)²/(SSxx)))

= 11.98 + 2.5706*0.9894*√(1 + (1/7) + ((47.5 - 57)²/(7648))) = 14.71

c)

Since the predicted amount of temized deductions is significantly greater than the actual claimed itemized deductions, the ag

d)

Any deductions exceeding the upper limit of $ 1471 could suggest an audit.

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