EGR_102_Lecture_04_HW

EGR_102_Lecture_04_HW - 9 11 12 15 17 19 y 4 5 6 5 8 7 6 9...

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EGR 102 of 2 pages Lecture 04 HW 1 EGR 102 Lecture 04 HW Due at beginning of lecture on Friday, February 10 2 Problems, 16 Points Total Name: PID: Lab Section #: Problem 1 (8 pts total = 4 pts regression + 4 pts plot): Use least-squares regression to fit a straight line to the data given below. Along with the slope and intercept, compute the coefficient of determination. Also use Excel to plot the data and regression line. Properly annotate your plot. Show all work to receive full credit. Express your answers to 4 decimal places. Place your answers in the spaces provided. x 0 2 4 6
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Unformatted text preview: 9 11 12 15 17 19 y 4 5 6 5 8 7 6 9 11 12 a = a 1 = r 2 = EGR 102 of 2 pages Lecture 04 HW 2 Problem 2 (8 pts total = 4 pts regression + 4 pts plot): Use least-squares regression to fit a straight line to the data given below. Along with the slope and intercept, compute the coefficient of determination. Use Excel to plot the data and regression line. Properly annotate your plot. Show all work to receive full credit. Express your answers to 4 decimal places. Place your answers in the spaces provided. x 6 7 11 15 17 21 23 29 29 37 39 y 28 20 28 13 20 14 6 6 12 0 2 a = a 1 = r 2 =...
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This note was uploaded on 04/02/2012 for the course EGR 100 taught by Professor Hinds during the Fall '08 term at Michigan State University.

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EGR_102_Lecture_04_HW - 9 11 12 15 17 19 y 4 5 6 5 8 7 6 9...

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