Linear Regression

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Page 1 (0s)

[Audio] Linear Regression AI project. A close up of a piece of paper with a pencil laying on top.

Page 2 (9s)

[Audio] GOAL To find the number of book sales from day 11 and day 12 by using Linear Regression.

Page 3 (18s)

[Audio] Book Sales Turning Pages to Profit: A Comprehensive Analysis of Book Sales Trends and Strategies in the Modern Market.

Page 4 (29s)

[Audio] Book Sales As per Datasheet Date Number of books Day Dec 30,2019 5 1 Mar 23 , 2020 25 2 June 29 , 2020 31 3 Sep 28 , 2020 64 4 Dec 15, 2020 54 5 Mar 29,2021 71 6 June 19, 2021 59 7 Sept 27 , 2021 78 8 Dec 25 , 2021 ?? 9 Jan 29 , 2022 ?? 10.

Page 5 (1m 6s)

[Audio] Step-1 Plotting the graph Day 5 25 31 1 2 3 Y = mx+c Linear Regression Formula.

Page 6 (1m 23s)

[Audio] List Of Values Using Linear Regression we got the following values: M(slope)=0.0701 C(y-intercept)=0.5737 Y stands for dependent variable X stands for independent variable.

Page 7 (1m 43s)

[Audio] Step-2 Predicted Result Now, we can finally use the result of Linear Regression to predict future value as- Day 9 may have- 0.0701*9+0.5737= 1.2046 Day 10 may have- 0.0701*10+0.5737=1.2747.

Page 8 (2m 15s)

[Audio] Thank You -KUSH PATEL 11 F. Thank You. -KUSH PATEL 11 F.