You can use your regression analysis results to make which of the following conclusions? (Select all that apply) The financial loss incurred to organizations is significantly higher for V authentication credentials than financial data V identity than financial data A financial than personal data O health than financial data V intellectual property than identity data O identity than health data

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.5: Properties Of Logarithms
Problem 64E
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You can use your regression analysis results to make which of the following conclusions? (Select all that apply)
The financial loss incurred to organizations is significantly higher for
M authentication credentials than financial data
V identity than fınancial data
V financial than personal data
V health than fınancial data
V intellectual property than identity data
O identity than health data
Transcribed Image Text:You can use your regression analysis results to make which of the following conclusions? (Select all that apply) The financial loss incurred to organizations is significantly higher for M authentication credentials than financial data V identity than fınancial data V financial than personal data V health than fınancial data V intellectual property than identity data O identity than health data
Coefficients:
Estimate std. Error t value Pr (>|t|)
0. 6403 83.006
0. 9213
0. 8673
(Intercept)
data_typeAuthentication_Credentials_Vs_Identity -8. 0170
data_typeFinancial_vs_Identity
data_typeHealth_vs_Identity
data_typeIntellectual_Property_vs_Identity
data_typePersonal_vs_Identity
< 2e-16 e se se
< 2e-16 e se se
< 2e-16 * se se
< 2e-16
5.726 1.79e-08 ** *
< 2e-16 *e se *
53.1464
-8.702
-9. 665
9. 941
-8. 3822
12.4783
1.2553
0. 8936
0. 9158 -11.294
5. 1165
-10. 3434
signif. codes:
O * ***' 0.001 ***' 0.01 *' 0.05 .' 0.1 '1
Residual standard error: 6.108 on 494 degrees of freedom
Multiple R-squar ed: 0. 5735,
F-statistic: 132. 8 on 5 and 494 DF, p-value: < 2.2e-16
Adjusted R-squared: 0. 5691
> round(tapply(lab8. datasfin_loss, lab8. datasdata_type, mean, na.rm = TRUE), 3)
Нealth
65. 625
Authentication Credentials
Financial
Intellectual Property
58.263
Identity
44.764
45.129
Personal
53.146
42.803
Transcribed Image Text:Coefficients: Estimate std. Error t value Pr (>|t|) 0. 6403 83.006 0. 9213 0. 8673 (Intercept) data_typeAuthentication_Credentials_Vs_Identity -8. 0170 data_typeFinancial_vs_Identity data_typeHealth_vs_Identity data_typeIntellectual_Property_vs_Identity data_typePersonal_vs_Identity < 2e-16 e se se < 2e-16 e se se < 2e-16 * se se < 2e-16 5.726 1.79e-08 ** * < 2e-16 *e se * 53.1464 -8.702 -9. 665 9. 941 -8. 3822 12.4783 1.2553 0. 8936 0. 9158 -11.294 5. 1165 -10. 3434 signif. codes: O * ***' 0.001 ***' 0.01 *' 0.05 .' 0.1 '1 Residual standard error: 6.108 on 494 degrees of freedom Multiple R-squar ed: 0. 5735, F-statistic: 132. 8 on 5 and 494 DF, p-value: < 2.2e-16 Adjusted R-squared: 0. 5691 > round(tapply(lab8. datasfin_loss, lab8. datasdata_type, mean, na.rm = TRUE), 3) Нealth 65. 625 Authentication Credentials Financial Intellectual Property 58.263 Identity 44.764 45.129 Personal 53.146 42.803
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ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage