| Tag | Value |
|---|---|
| file | Inferential_Statistics_vufsw-multiple_linear_regression-1237-en_vufsw-multiple_linear_regression-1237-en |
| name | vufsw-multiple linear regression-1237-en |
| section | inferential statistics/regression/multiple linear regression |
| type | schoice |
| solution | FALSE, TRUE, FALSE, FALSE |
| Type | performing analysis |
| Program | calculator |
| Language | English |
| Level | statistical literacy |
A researcher wants to investigate to what extent age (X1) and gender (X2) can predict how many hours someone spends each day on social media. The regression analysis based on a sample of 160 respondents gives the following (fictitious) results:
| Predictor | Coef (b) | SE Coef (seb) | Standardized Coef (Beta) | t | Sig. |
| Constant | 3.008 | .258 |
|
|
|
| Age (X1) | -.020 | .018 | -.036 |
|
|
| Gender (X2) | .289 | .04 6 | .205 |
|
|
As you can see, the t-values and the p-values are missing. The researcher tests one-sidedly with alpha= 0.05. Which variables have a significant influence on Y?
Gender is significant, age not. For age the t value is -1.11 (-0.02/0.018) and for gender the value is 6.28 (0.289/0.046). The critical t value with n=160 (df=159), one sided and alpha is .05 is 1.645. The test value for gender is 6.28, thus higher than the critical value, thus gender influences Y significant and age not.
Language
Nederlands
Levels of Difficulty
Medium
M&T BIS
Default value
M&T Multivariate linear regression
Default value