mlr_dat 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
mlr_dat 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
Chapter1: Overview Of Database Concepts
Section: Chapter Questions
Problem 6MC
Related questions
Question
As 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 dataset.
Find the intercept b and the coefficient Wi. Compare and show side by side to see how close your MLR model prediction.
![mlr_dat
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcdebe839-8d5a-4e6c-a5eb-ef8180a5fa1a%2Ff5a2bb9a-8914-488d-99db-af83b9822ab9%2F8b1faqk_processed.png&w=3840&q=75)
Transcribed Image Text:mlr_dat
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
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