Examlex

Solved

Refer to the Following Computer Output from Estimating the Parameters

question 7

Multiple Choice

Refer to the following computer output from estimating the parameters of the nonlinear model
 DEPENDENT VARIAELE:  LNY  R-SQUARE  F-RATIO  P-VALUE ONF  OESERVATIONS:  32 0.775632.440.0001 PARAMETER  STANDARD  VARIAELE  ESTMATE  ERROR  T-RATIO  P-VALUE  INTEREEPT 0.59310.322.170.0390 LNRR 4.651.363.430.0019 LNS 0.440.241.830.0774 LNT 8.284.61.800.0826\begin{array} { r l l l l l } \text { DEPENDENT VARIAELE: } & \text { LNY } & \text { R-SQUARE } & \text { F-RATIO } & \text { P-VALUE ONF } \\\text { OESERVATIONS: } & \text { 32 } & \mathbf { 0 . 7 7 5 6 } & \mathbf { 3 2 . 4 4 } & \mathbf { 0 . 0 0 0 1 } & \\\\& \text { PARAMETER } & \text { STANDARD } & & \\\text { VARIAELE } & \text { ESTMATE } & \text { ERROR } & \text { T-RATIO } & \text { P-VALUE } \\\text { INTEREEPT } & \mathbf { - 0 . 5 9 3 1 } & \mathbf { 0 . 3 2 } & \mathbf { - 2 . 1 7 } & \mathbf { 0 . 0 3 9 0 } \\\text { LNRR } & \mathbf { 4 . 6 5 } & 1.36 & \mathbf { 3 . 4 3 } & \mathbf { 0 . 0 0 1 9 } \\\text { LNS } & \mathbf { - 0 . 4 4 } & \mathbf { 0 . 2 4 } & - 1.83 & \mathbf { 0 . 0 7 7 4 } \\\text { LNT } & \mathbf { 8 . 2 8 } & \mathbf { 4 . 6 } & \mathbf { 1 . 8 0 } & \mathbf { 0 . 0 8 2 6 }\end{array}
-Which of the parameter estimates are statistically significant at the 90% level of confidence?


Definitions:

Minority Groups

Social groups that are marginalized, have fewer privileges, or are less powerful than the dominant segments of society.

Aversive Racist

An individual who unconsciously holds racist attitudes or feelings while consciously knowing that racism is wrong and being committed to being non-prejudiced.

Social Dominance Orientation

A personality trait which predicts social and political attitudes, characterized by a preference for hierarchy in social situations and the domination over lower-status groups.

Stereotyping

The process of assigning traits to people based on their membership in a social group, often leading to overgeneralizations.

Related Questions