See below b. The Python file q5.py imports thefunction corr_coef () which you usedin Section 5.4 of Block 2 Part 5 to calculate thecorrelation coefficient between two lists.i. Use this function to calculate thecorrelation coefficient betweenprice and year.In your Solution document, provide theresulting figure rounded (manually or usingPython) to two decimal places. Alsoprovide the Python code you used forcalling the corr_coef() functionand explain how you executed it. 18:54←TMA 02values. These lists contain data about house prices permetre squared in London, between 2004 and 2016. Theannual data on house price by size of property iscalculated using data from HM Land Registry andValuation Office Agency.The list year is a list of the years and the listprice contains the corresponding average houseprice per metre squared for each of these years.Both data sets are from the Office for National Statistics(Office for National Statistics, 2017).The following statistics show that the price of housesgenerally increases every year. For example, the priceper area in London in 2016 was 198% (nearly double)that of 2004.700060005000400030002000No. 42%100002004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016Figure 1 House prices based on size House Price perarea (metre squared) in London, 2004 to 2016 (houseand flat)|||UQ

Algorithm for the below code:- 1. Start 2. Import the numpy package. 3. Define the corr_coef()…

b. The Python file q5.py imports the function corr_coef () which you used in Section 5.4 of Block 2 Part 5 to calculate the correlation coefficient between two lists. i. Use this function to calculate the correlation coefficient between price and year. In your Solution document, provide the resulting figure rounded (manually or using Python) to two decimal places. Also provide the Python code you used for calling the corr_coef() function and explain how you executed it.

b. The Python file q5.py imports the function corr_coef () which you used in Section 5.4 of Block 2 Part 5 to calculate the correlation coefficient between two lists. i. Use this function to calculate the correlation coefficient between price and year. In your Solution document, provide the resulting figure rounded (manually or using Python) to two decimal places. Also provide the Python code you used for calling the corr_coef() function and explain how you executed it.

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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