PowerPoint Presentation

[Audio] Linear Regression ARTIFICIAL INTELLIGENCE PROJECT.

[Audio] Years of experiences and salary. Years of experiences and salary.

[Audio] DATA OF SALARY AND YEAR OF EXPERIENCE INDEX YEARS OF EXPERIENCE SALARY 1 1.1 39343 2 1.3 46205 3 1.5 37731 4 2 43525 5 2.2 39891 6 2.9 56642 7 3 60150 8 3.2 54445 9 3.2 64445 10 3.7 57189 11 3.9 63218 12 4 55794 13 4 56957.

[Audio] OBJECTIVE To find salary by using its years of experience.

[Audio] STEP 1 Plotting the graph By using the Linear Regression Y=mx +c 1.1000000000000001 1.3 1.5 2 2.2000000000000002 2.9 3 3.2 3.2 3.7 3.9 4 4 4.0999999999999996 39343 46205 37731 43525 39891 56642 60150 54445 64445 57189 63218 55794 56957 57081.

[Audio] List of values M(slope) = 7105 C(y-intercept)=31973 Y stands for dependent value X stand for independent value.

[Audio] Step-2 Prediction of the value By using the linear Regression we will take x=2.5 Y=mx+c Y=7150*2.5+31973 Y=49848.

[Audio] Thank you