Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-multiple_linear_regression-1227-en_vufsw-multiple_linear_regression-1227-en |
name | vufsw-multiple linear regression-1227-en |
section | inferential statistics/regression/multiple linear regression |
type | schoice |
solution | TRUE, FALSE, FALSE, FALSE |
Type | performing analysis |
Program | calculator |
Language | English |
Level | statistical literacy |
Given is the following incomplete output. Occupational prestige is the
dependent variable, and age in years, education in number of years of
the respondent, the father and the mother are the independent
variables.
Coefficientsa |
||||||
Model |
Unstandardized
Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
4.339 |
1.839 |
|
2.359 |
.018 |
age age at day of interview |
.085 |
.021 |
.056 |
|
|
|
edu education level attained (years) |
2.709 |
.070 |
.610 |
|
|
|
eduf educ level father |
.446 |
.090 |
.085 |
|
|
|
edum educ level mother |
.018 |
.141 |
.002 |
|
|
|
|
Which of the four independent variables has a statistically significant
effect on occupational prestige?