A certain experiment produces the data (1, 1.6), (2, 2.9), (3, 3.3), (4, 3.8), and (5, 3.9). Describe the model that produces a least-squares fit of these pts by a function of the form y = β1 x + β2x2. Such a function might arise, for exmple, as the revenue from the sale of x units of a product, when the amount offered for sale affects the price to be set for the product.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Hello there, can you help me solve the problem with two subparts ( b and c )? Thank you!

A certain experiment produces the data (1, 1.6), (2, 2.9), (3, 3.3), (4, 3.8), and (5, 3.9). Describe the model that produces a least-squares fit of these pts by a function of the form y = β1 x + β2x2. Such a function might arise, for exmple, as the revenue from the sale of x units of a product, when the amount offered for sale affects the price to be set for the product.

 

c. If a machine learned the curve you found in (b), what output would it provide for an input of x = 6?
y =
(Round to two decimal places as needed.)
Transcribed Image Text:c. If a machine learned the curve you found in (b), what output would it provide for an input of x = 6? y = (Round to two decimal places as needed.)
b. Find the associated least-squares curve for the data.
y=x+ (x²
(Round to two decimal places as needed.)
Transcribed Image Text:b. Find the associated least-squares curve for the data. y=x+ (x² (Round to two decimal places as needed.)
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