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produc a regression equation of Y = 3X -4. 4. A set of n = 12 pairs Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 5 2 1 3 0 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed_ etter. Wallnau, and Forzano. 7 9 6 2 5 4

produc a regression equation of Y = 3X -4. 4. A set of n = 12 pairs Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 5 2 1 3 0 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed_ etter. Wallnau, and Forzano. 7 9 6 2 5 4

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 4PPS
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A set of n 12 pairs 4. ces a regression equation of Y = 3X -4. Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 7 5 9 2 6 1 2 3 5 0 4 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed. etter, Wallnau, and Forzano. 5.
Transcribed Image Text:A set of n 12 pairs 4. ces a regression equation of Y = 3X -4. Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 7 5 9 2 6 1 2 3 5 0 4 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed. etter, Wallnau, and Forzano. 5.
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