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).

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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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