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Consider the following diagnostics table from a multiple linear regression with 2 covariates: ID Standardized .h_ii DFFITS_i COVRATIO_i residual -1.2 0.172 -0.075 1.28 2 -0.4 0.1 0.546 1.009 0 0.206 0.431 1.281 4 -0.77 0.268 0.521 1.587 0.63 0.143 -0.355 1.183 1.58 0.132 -0.2 1.2 7 0.79 0.052 -0.073 1.114 8. 0.17 0.188 0.044 1.3 0.02 0.128 -0.186 1.2 10 -3.84 0.098 0.254 1.135 11 -0.4 0.09 -0.002 1.177 12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 -0.02 0.16 -0.25 1.21 15 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space, Observation is an suggested bu ctan

Consider the following diagnostics table from a multiple linear regression with 2 covariates: ID Standardized .h_ii DFFITS_i COVRATIO_i residual -1.2 0.172 -0.075 1.28 2 -0.4 0.1 0.546 1.009 0 0.206 0.431 1.281 4 -0.77 0.268 0.521 1.587 0.63 0.143 -0.355 1.183 1.58 0.132 -0.2 1.2 7 0.79 0.052 -0.073 1.114 8. 0.17 0.188 0.044 1.3 0.02 0.128 -0.186 1.2 10 -3.84 0.098 0.254 1.135 11 -0.4 0.09 -0.002 1.177 12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 -0.02 0.16 -0.25 1.21 15 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space, Observation is an suggested bu ctan

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 4GP
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Consider the following diagnostics table from a multiple linear regression with 2 covariates: ID Standardized h_i DFFITS i COVRATIO_i residual -1.2 0.172 -0.075 1.28 -0.4 0.1 0.546 1.009 3 0.206 0.431 1.281 4 -0.77 0.268 0.521 1.587 0.63 0.143 -0.355 1.183 6. 1.58 0.132 -0.2 1.2 7 0.79 0.052 -0.073 1.114 8 0.17 0.188 0.044 1.3 9. 0.02 0.128 -0.186 1.2 10 -3.84 0.098 0.254 1.135 11 -0.4 0.09 -0.002 1.177 12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 1.21 15 -0.02 0.16 -0.25 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space, Observation is an suggested by standardized residuals.
Transcribed Image Text:Consider the following diagnostics table from a multiple linear regression with 2 covariates: ID Standardized h_i DFFITS i COVRATIO_i residual -1.2 0.172 -0.075 1.28 -0.4 0.1 0.546 1.009 3 0.206 0.431 1.281 4 -0.77 0.268 0.521 1.587 0.63 0.143 -0.355 1.183 6. 1.58 0.132 -0.2 1.2 7 0.79 0.052 -0.073 1.114 8 0.17 0.188 0.044 1.3 9. 0.02 0.128 -0.186 1.2 10 -3.84 0.098 0.254 1.135 11 -0.4 0.09 -0.002 1.177 12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 1.21 15 -0.02 0.16 -0.25 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space, Observation is an suggested by standardized residuals.
12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 1.21 15 -0.02 0.16 -0.25 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space. Observation is an suggested by standardized residuals. The formal threshold (not the general 0.5 threshold) for detecting a high leverage point for this data is Observation is a high leverage point. The threshold for detecting a suspicious point by DFFITS for this data is Observation is a/an point suggested by DFFITS. A suspicious point by COVRATIO should be smaller than or bigger than for this data set. You need to write a formal threshold (not the general threshold of 1.) By COVRATIO, observation the precision. That means, it (increases/decreases?) the of the point estimates of regression parameters.
Transcribed Image Text:12 0.72 0.088 -0.015 1.165 13 0.03 0.17 -0.067 1.28 14 -0.58 0.12 0.11 1.21 15 -0.02 0.16 -0.25 1.241 16 -0.08 0.11 -0.03 1.197 17 -0.3 0.16 0.005 1.262 18 0.18 0.066 -0.571 0.884 19 1.16 0.198 1.66 0.782 20 0.35 0.335 -0.45 1.268 Use only two digits after the dot (eg, 1.23). For integers, just use the number, eg, 1. Do not write 'one'. If you think the space should be blank, just write NO in the space. Observation is an suggested by standardized residuals. The formal threshold (not the general 0.5 threshold) for detecting a high leverage point for this data is Observation is a high leverage point. The threshold for detecting a suspicious point by DFFITS for this data is Observation is a/an point suggested by DFFITS. A suspicious point by COVRATIO should be smaller than or bigger than for this data set. You need to write a formal threshold (not the general threshold of 1.) By COVRATIO, observation the precision. That means, it (increases/decreases?) the of the point estimates of regression parameters.
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