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A Data Scientist, you are supposed to build a multivariate linear regression (MLR) model that might be used to predict the Stock Price Index (dependent variable) based on two independent variables namely Interest Rate and Unemployment Rate as they are shown in the mlr_dat.csv dataset. Find the intercept b and the coefficient Wi analytically by consulting the aforementioned problem to the textbook AIMA 3rd Edition pp. 718-721. Compare and show side by side to see how close your MLR model prediction with the actual one (ground truth).

A Data Scientist, you are supposed to build a multivariate linear regression (MLR) model that might be used to predict the Stock Price Index (dependent variable) based on two independent variables namely Interest Rate and Unemployment Rate as they are shown in the mlr_dat.csv dataset. Find the intercept b and the coefficient Wi analytically by consulting the aforementioned problem to the textbook AIMA 3rd Edition pp. 718-721. Compare and show side by side to see how close your MLR model prediction with the actual one (ground truth).

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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mlr dat.csv Interest_Rate,Unemployment_Rate,Stock_Index_Price 2.75,5.3,1464 2.5,5.3,1394 2.5,5.3,1357 2.5,5.3,1293 2.5,5.4,1256 2.5,5.6,1254 2.5,5.5,1234 2.25,5.5,1195 2.25,5.5,1159 2.25,5.6,1167 2.0,5.7,1130 2.0,5.9,1075 2.0,6.0,1047 1.75,5.9,965 1.75,5.8,943 1.75,6.1,958 1.75,6.2,971 1.75,6.1,949 1.75,6.1,884 1.75,6.1,866 1.75,5.9,876 1.75,6.2,822 1.75,6.2,704 1.75,6.1,719
Transcribed Image Text:mlr dat.csv Interest_Rate,Unemployment_Rate,Stock_Index_Price 2.75,5.3,1464 2.5,5.3,1394 2.5,5.3,1357 2.5,5.3,1293 2.5,5.4,1256 2.5,5.6,1254 2.5,5.5,1234 2.25,5.5,1195 2.25,5.5,1159 2.25,5.6,1167 2.0,5.7,1130 2.0,5.9,1075 2.0,6.0,1047 1.75,5.9,965 1.75,5.8,943 1.75,6.1,958 1.75,6.2,971 1.75,6.1,949 1.75,6.1,884 1.75,6.1,866 1.75,5.9,876 1.75,6.2,822 1.75,6.2,704 1.75,6.1,719
A Data Scientist, you are supposed to build a multivariate linear regression (MLR) model that might be used to predict the Stock Price Index (dependent variable) based on two independent variables namely Interest Rate and Unemployment Rate as they are shown in the mlr dat.csv dataset. Find the intercept b and the coefficient Wi analytically by consulting the aforementioned problem to the textbook AIMA 3rd Edition pp. 718-721. Compare and show side by side to see how close your MLR model prediction with the actual one (ground truth). Learning Outcomes: LO 5: Apply various techniques to an agent when acting under certainty LO 6: Apply various AI algorithms to solve the problems
Transcribed Image Text:A Data Scientist, you are supposed to build a multivariate linear regression (MLR) model that might be used to predict the Stock Price Index (dependent variable) based on two independent variables namely Interest Rate and Unemployment Rate as they are shown in the mlr dat.csv dataset. Find the intercept b and the coefficient Wi analytically by consulting the aforementioned problem to the textbook AIMA 3rd Edition pp. 718-721. Compare and show side by side to see how close your MLR model prediction with the actual one (ground truth). Learning Outcomes: LO 5: Apply various techniques to an agent when acting under certainty LO 6: Apply various AI algorithms to solve the problems
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