| Tag | Value |
|---|---|
| file | Inferential_Statistics_vufsw-significancelevel-0023-en_vufsw-significancelevel-0023-en |
| name | vufsw-significancelevel-0023-en |
| section | inferential statistics/nhst/significance level |
| type | schoice |
| solution | FALSE, FALSE, TRUE, FALSE |
| Type | interpretating output |
| Program | NA |
| Language | English |
| Level | statistical literacy |
A researcher conducts a single regression analysis with “Income” (net monthly salary, in euros) as the dependent variable and variable “Age” (age in years) as the independent variable.
It calculates a 95% confidence interval (confidence interval) of the slope. This interval turns out to be [-0.02; 0.06].
What can we conclude from this, if we test two-sidedly whether Age has a significant influence on Income? We use here a significance level of 5% (α = 0.05).
Language Dutch
Levels of Difficulty Easy
M&T Basics of quantitative research Basics of quantitative research
M&T BIS Default value