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8. The following 14 data pairs relate variable x, the size of store (in 1000squa

ID: 3326283 • Letter: 8

Question

8. The following 14 data pairs relate variable x, the size of store (in 1000square feet) to variable yi, its annual sales (in millions of dollars): x 1.7 1.6 285.6 1.3 22 1.31.1 3.21.55.2 4.6 5.8 3.0 y 3.7 3.9 6.7 9.5 3.4 5.6 3.7 2.75.52.9 10.7 7.6 11.8 4.1 such that: x-2.92, Y=5.84 , xy =301.90, =157.41, y,2 =594.90 Find a) equation of linear regression line Y A+ BX (6points) (2points) b) 90% confidence interval for B: is there regression on input variable? c) 95% confidence interval for response if x=4 (4points) 95% prediction interval for response if x-4 Explain difference between these intervals

Explanation / Answer

Regression Analysis: y1 versus x1

Model Summary

S R-sq R-sq(adj) R-sq(pred)
0.966380 90.42% 89.62% 86.82%


Coefficients

Term Coef SE Coef T-Value P-Value VIF
Constant 0.964 0.526 1.83 0.092
x1 1.670 0.157 10.64 0.000 1.00


Regression Equation

y1 = 0.964 + 1.670 x1

Variable Setting
x1 4

Fit SE Fit 95% CI 95% PI
7.64392 0.308794 (6.97112, 8.31673) (5.43348, 9.85436)

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