[Audio] LINEAR REGRESSION ARTIFICIAL INTELLIGENCE PROJECT.
[Audio] Fire and theft in chicago.
[Audio] DATA OF FIRE AND THEFT IN CHICAGO (AS PER DATASHEET) INDEX FIRES/1000 HOUSING UNITS THEFTS/1000 POPULATION 1 6.2 29 2 9.5 44 3 10.5 36 4 7.7 37 5 8.6 53 6 34.1 68 7 11 75 8 6.9 18 9 7.3 31 10 15.1 25 11 29.1 34 12 2.2 14 13 5.7 11 14 2 11.
[Audio] STEP 1 PLOTTING THE GRAPH Y 6.2 9.5 10.5 7.7 8.6 34.1 11 6.9 7.3 15.1 29.1 2.2000000000000002 5.7 2 29 44 36 37 53 68 75 18 31 25 34 14 11 11 Y=mx+c Linear regression formula.
[Audio] VALUES OF LINEAR REGRESSION M(SLOPE)=1.1269 C(Y-INTERCEPT)=22.166 Y STANDS FOR DEPENDENT VARIABLE X STANDS FOR INDEPENDENT VARIABLE.
[Audio] STEP 2 PREDICTING REQUIRED VALUE BY USING LINEAR REGRESSION LET TAKE X = 38 Y = mx+c Y = 1.1269*38+22.166 Y = 64.9882.
[Audio] THANKS FOR WATCHING PRESENTED BY AMISH TAYWADE AND HARDIK CHANDRA CLASS 11 F.