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
 Summer '07
 RUSSEL
 Algebra, Least Squares, Linear Regression, Regression Analysis, Future Value, Linear function, MODELING LINEAR FUNCTIONS

Click to edit the document details