This preview shows page 1. Sign up to view the full content.
Unformatted text preview: 1. Construct a scatter plot of the data in the table. Can the scatter plot be fit exactly or only approximately by a linear function? How do you know? Find the linear function that is the best fit for the data. x 2 6 10 14 18 y 2 4 6 8 10 2. a) Find the leastsquares regression line in the form bx a x f + = ) ( . b) Use the regression line to estimate y when 150 = x (interpolation) and 200 = x (extrapolation). x 100 120 140 160 180 y 477 483 489 495 504 3. If $400 is invested at 4% simple interest, the future value S in t years is given in the table below. a) Is the rate of change of the future value constant for uniform inputs? b) Can the future value be modeled by a linear function? c) Write the equation that gives the future value as a function of the time in years in slopeintercept form. Year(t) 0 1 2 3 4 Future Value (S) 400 425 450 475 500...
View
Full
Document
This note was uploaded on 10/18/2011 for the course MAC 1105 taught by Professor Russel during the Summer '07 term at Valencia.
 Summer '07
 RUSSEL
 Algebra, Linear Regression

Click to edit the document details