Sum of Squared Errors: Remember from your statistics courses that if two random variables X and Y are related by a relation Y aX+b and you had a set of observations {(1, 1), (2.92)....(z. Mu)). then for every estimated values of a and 6, the Sum of Squared Errors (SSE) was defined as in the following formula. SSE Σw-axi - B -8)². 3 The less SSE, the better a and b are estimated. Consider the following fixed list. In this list each sub-list of length two is standing for one pair (r). Write a function that recieves two numbers a and & and returns the associated SSE. L [[1, 2], [1.1, 2], [2, 7.1], [2.5, 7.2), (3, 11]]

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Sum of Squared Errors: Remember from your statistics courses that if two
random variables X and Y are related by a relation YaX+b and you had a set of observations
{(1, 1), (2, 2)..... (z.)). then for every estimated values of a and b, the Sum of Squared Errors
(SSE) was defined as in the following formula.
SSE(-ar-b)².
1-1
The less SSE, the better a and b are estimated. Consider the following fixed list. In this list each
sub-list of length two is standing for one pair (z.). Write a function that recieves two numbers a
and b and returns the associated SSE.
L- [[1, 2], [1.1, 2], [2, 7.1), (2.5, 7.21, (3, 11]]
Transcribed Image Text:Sum of Squared Errors: Remember from your statistics courses that if two random variables X and Y are related by a relation YaX+b and you had a set of observations {(1, 1), (2, 2)..... (z.)). then for every estimated values of a and b, the Sum of Squared Errors (SSE) was defined as in the following formula. SSE(-ar-b)². 1-1 The less SSE, the better a and b are estimated. Consider the following fixed list. In this list each sub-list of length two is standing for one pair (z.). Write a function that recieves two numbers a and b and returns the associated SSE. L- [[1, 2], [1.1, 2], [2, 7.1), (2.5, 7.21, (3, 11]]
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