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*-1. Estimate the linear probability model. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. A B U 1 y x1 x2 Constant x1 ×2 Predictor Variable Linear Model 0.42 0.01 -0.03 20 14.44 13.93 30 18.45 3.16 40 5.45 8.51 50 10.77 10.04 60 |11.21 10.02 70 8.31 9.50 81 13.09 2.66 e-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. 91 19.72 9.61 Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). 10 1 18.06 9.24 11 0 8.13 9.32 120 6.26 4.19 13 0 5.31 10.89 140 19.83 3.33 15 1 7.00 7.27 b-1. Estimate the logistic regression model. 16 1 9.77 5.66 Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. 17 0 19.83 13.03 18 0 9.87 8.06 Predictor Variable Logistic Model 19 0 6.31 8.99 Constant 201 17.01 10.60 21 1 ×2 4.59 8.08 22 23 24 25 b-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). + B

*-1. Estimate the linear probability model. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. A B U 1 y x1 x2 Constant x1 ×2 Predictor Variable Linear Model 0.42 0.01 -0.03 20 14.44 13.93 30 18.45 3.16 40 5.45 8.51 50 10.77 10.04 60 |11.21 10.02 70 8.31 9.50 81 13.09 2.66 e-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. 91 19.72 9.61 Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). 10 1 18.06 9.24 11 0 8.13 9.32 120 6.26 4.19 13 0 5.31 10.89 140 19.83 3.33 15 1 7.00 7.27 b-1. Estimate the logistic regression model. 16 1 9.77 5.66 Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. 17 0 19.83 13.03 18 0 9.87 8.06 Predictor Variable Logistic Model 19 0 6.31 8.99 Constant 201 17.01 10.60 21 1 ×2 4.59 8.08 22 23 24 25 b-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). + B

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 22PFA
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*-1. Estimate the linear probability model. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. A B U 1 y x1 x2 Constant x1 ×2 Predictor Variable Linear Model 0.42 0.01 -0.03 20 14.44 13.93 30 18.45 3.16 40 5.45 8.51 50 10.77 10.04 60 |11.21 10.02 70 8.31 9.50 81 13.09 2.66 e-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. 91 19.72 9.61 Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). 10 1 18.06 9.24 11 0 8.13 9.32 120 6.26 4.19 13 0 5.31 10.89 140 19.83 3.33 15 1 7.00 7.27 b-1. Estimate the logistic regression model. 16 1 9.77 5.66 Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. 17 0 19.83 13.03 18 0 9.87 8.06 Predictor Variable Logistic Model 19 0 6.31 8.99 Constant 201 17.01 10.60 21 1 ×2 4.59 8.08 22 23 24 25 b-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). + B
Transcribed Image Text:*-1. Estimate the linear probability model. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. A B U 1 y x1 x2 Constant x1 ×2 Predictor Variable Linear Model 0.42 0.01 -0.03 20 14.44 13.93 30 18.45 3.16 40 5.45 8.51 50 10.77 10.04 60 |11.21 10.02 70 8.31 9.50 81 13.09 2.66 e-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. 91 19.72 9.61 Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). 10 1 18.06 9.24 11 0 8.13 9.32 120 6.26 4.19 13 0 5.31 10.89 140 19.83 3.33 15 1 7.00 7.27 b-1. Estimate the logistic regression model. 16 1 9.77 5.66 Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. 17 0 19.83 13.03 18 0 9.87 8.06 Predictor Variable Logistic Model 19 0 6.31 8.99 Constant 201 17.01 10.60 21 1 ×2 4.59 8.08 22 23 24 25 b-2. Use the above estimates to compute ŷ for x₁ = 12, and x2 = 8. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Report the probability between 0 and 1 (not in %). + B
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