2. The table below lists the annual land-line phone cost per costumer: Year 2012 2013 2014 2015 Cost ($) a. 692 610 Find a linear regression model for this data b. Interpret the slope of the model 580 c. Predict the annual land-line phone cost per customer in 2022 495 2016 434
2. The table below lists the annual land-line phone cost per costumer: Year 2012 2013 2014 2015 Cost ($) a. 692 610 Find a linear regression model for this data b. Interpret the slope of the model 580 c. Predict the annual land-line phone cost per customer in 2022 495 2016 434
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The linear regression is used to fit a data set into a linear equation of the form: . The equation: represents a straight line whose slope is m and y-intercept is b.
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