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Given are five observations for two variables, x and y. I| 3 12 6 20 14 y. | 55 40 55 10 15 a. Develop a scatter diagram for these data. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. Try to approximate the relationship between x and y by drawing a straight line through the data.

Given are five observations for two variables, x and y. I| 3 12 6 20 14 y. | 55 40 55 10 15 a. Develop a scatter diagram for these data. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. Try to approximate the relationship between x and y by drawing a straight line through the data.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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Given are five observations for two variables, x and y. x;| 3 12 6 20 14 yi | 55 40 55 10 15 a. Develop a scatter diagram for these data. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. Try to approximate the relationship between x and y by drawing a straight line through the data. d. Develop the estimated regression equation by computing the values of b, and b, using equations (14.6) and (14.7). e. Use the estimated regression equation to predict the value of y when x = 10.
Transcribed Image Text:Given are five observations for two variables, x and y. x;| 3 12 6 20 14 yi | 55 40 55 10 15 a. Develop a scatter diagram for these data. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. Try to approximate the relationship between x and y by drawing a straight line through the data. d. Develop the estimated regression equation by computing the values of b, and b, using equations (14.6) and (14.7). e. Use the estimated regression equation to predict the value of y when x = 10.
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