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For this assignment, you will be using Jupyter software on your XenDesktop to write a Python program. Write a Python program that solves the following problem: The sales of a company (in million dollars) for each year are shown in the table below. X (year) y (sales) Sales for each year 2005 2006 2007 2008 2009 12 19 29 37 45 1. Find the least square regression line y = ax + b. 2. Use the least-squares regression line as a model to estimate the sales of the company in 2012.

For this assignment, you will be using Jupyter software on your XenDesktop to write a Python program. Write a Python program that solves the following problem: The sales of a company (in million dollars) for each year are shown in the table below. X (year) y (sales) Sales for each year 2005 2006 2007 2008 2009 12 19 29 37 45 1. Find the least square regression line y = ax + b. 2. Use the least-squares regression line as a model to estimate the sales of the company in 2012.

Database System Concepts
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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Write a Jupyter code for the following.
For this assignment, you will be using Jupyter software on your XenDesktop to write a Python program. Write a Python program that solves the following problem: The sales of a company (in million dollars) for each year are shown in the table below. X (year) y (sales) Sales for each year 2005 2006 2007 2008 2009 12 19 29 37 45 1. Find the least square regression line y = ax + b. 2. Use the least-squares regression line as a model to estimate the sales of the company in 2012.
Transcribed Image Text:For this assignment, you will be using Jupyter software on your XenDesktop to write a Python program. Write a Python program that solves the following problem: The sales of a company (in million dollars) for each year are shown in the table below. X (year) y (sales) Sales for each year 2005 2006 2007 2008 2009 12 19 29 37 45 1. Find the least square regression line y = ax + b. 2. Use the least-squares regression line as a model to estimate the sales of the company in 2012.
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