Using any programming language of your choice, develop a function that takes data (x1, y1), ..., (Xn, n), and produces the coefficients ao, a, for linear regression, where the output is y = a, + a,x. Test your function for the table provided in Problem 17.3, and compare the results to your solution to Problem 17.3 (only for y versus x case).
Using any programming language of your choice, develop a function that takes data (x1, y1), ..., (Xn, n), and produces the coefficients ao, a, for linear regression, where the output is y = a, + a,x. Test your function for the table provided in Problem 17.3, and compare the results to your solution to Problem 17.3 (only for y versus x case).
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
Section: Chapter Questions
Problem 1PE
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By python, please (Ignore the comparing part)
![Using any programming language of your choice, develop a function that takes data
(x1, y1), ..., (xn, Yn), and produces the coefficients ao, a, for linear regression, where the
output is y = ao + a1x. Test your function for the table provided in Problem 17.3, and
compare the results to your solution to Problem 17.3 (only for y versus x case).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbb9cff38-c55c-4127-9528-9a12e708666e%2F99b00355-2f92-4646-a3a6-98116d9fb35a%2Fn2zt75g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Using any programming language of your choice, develop a function that takes data
(x1, y1), ..., (xn, Yn), and produces the coefficients ao, a, for linear regression, where the
output is y = ao + a1x. Test your function for the table provided in Problem 17.3, and
compare the results to your solution to Problem 17.3 (only for y versus x case).
![17.3 Use least-squares regression to fit a straight line to
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11 12
15
17
19
6
8
7
10
12
12
Along with the slope and intercept, compute the standard error of
the estimate and the correlation coefficient. Plot the data and the
regression line. Then repeat the problem, but regress x versus y-
that is, switch the variables. Interpret your results.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbb9cff38-c55c-4127-9528-9a12e708666e%2F99b00355-2f92-4646-a3a6-98116d9fb35a%2F39atgun_processed.jpeg&w=3840&q=75)
Transcribed Image Text:17.3 Use least-squares regression to fit a straight line to
4
9
11 12
15
17
19
6
8
7
10
12
12
Along with the slope and intercept, compute the standard error of
the estimate and the correlation coefficient. Plot the data and the
regression line. Then repeat the problem, but regress x versus y-
that is, switch the variables. Interpret your results.
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