3. The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) Quantity sold (Y) 6.00 3.00 7.00 1.00 2.00 8.00 53 67 48 Σ w=27, Σy=342, Σ α2=163, Σ my=1295, Σ y = 21062, n = 6. a. Estimate the regression line and also write the prediction equation. = 83.4578 5.8795 x CF 76 70 28 n B (99+ Ra

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
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Chapter10: Statistics
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3. The following sample contains values of the price and quantity sold of a particular
commodity. Use quantity sold as the dependent variable Y.
Price (X)
Quantity sold
(Y)
6.00 3.00 7.00
53
67
1.00 2.00 8.00
48 76
= 83.4578-5.8795 x
70
Σæ=27, Σy=342, Σ α2=163, Σ ay=1295, Σ υ = 21062, n = 6.
a. Estimate the regression line and also write the prediction equation.
99+
28
O
11
AA
P
?
Ra
Transcribed Image Text:3. The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) Quantity sold (Y) 6.00 3.00 7.00 53 67 1.00 2.00 8.00 48 76 = 83.4578-5.8795 x 70 Σæ=27, Σy=342, Σ α2=163, Σ ay=1295, Σ υ = 21062, n = 6. a. Estimate the regression line and also write the prediction equation. 99+ 28 O 11 AA P ? Ra
a. Estimate the regression line and also write the prediction equation.
y = 83.4578-5.8795 x
y = 5.8795 + 83.4578 x
ŷ
ŷ= = -5.8795 + 83.4578 x
= 83.4578 + 5.8795 x
Transcribed Image Text:a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
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