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[Audio] LINEAR REGRESSION AI PROJECT. LINEAR REGRESSION.
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[Audio] GROUND WATER SURVEY. GROUND WATER SURVEY.
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[Audio] DATA OF GROUND WATER SURVEY INDEX PH OF WELL BICARBON 1 7.6 157 2 7.1 174 3 8.2 175 4 7.5 188 5 7.4 171 6 7.8 143 7 7.3 217 8 8 190 9 7.1 142 10 7.5 190 11 8.1 215 12 7 199 13 7.3 262 14 7.8 105.
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[Audio] STEP 1 PLOTTING THE GRAPH 7.6 7.1 8.1999999999999993 7.5 7.4 7.8 7.3 8 7.1 7.5 8.1 7 7.3 7.8 157 174 175 188 171 143 217 190 142 190 215 199 262 105 Y= MX+C.
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[Audio] THE VALUES USING LINEAR REGRESSION WE GOT THE FOLLOWING VALUES :- m(slope)= 14.93 c(y-intercept)= 293.3 y stands for dependent variable x stands for independent variable.
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[Audio] STEP-2 Predicting required value BY USING LINEAR REGRESSION LET X=8 Y=14.93*8 +293.3 Y=294.4.
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[Audio] THANKS FOR WATCHING PRESENTED BY :- UDIT DAS MAHANT VIHAAN SAHU.
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[Audio] .