Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-simple_linear_regression-1258-en_vufsw-simple_linear_regression-1258-en |
name | vufsw-simple linear regression-1258-en |
section | inferential statistics/regression/simple linear regression |
type | schoice |
solution | FALSE, FALSE, TRUE, FALSE |
Type | test choice |
Program | NA |
Language | English |
Level | statistical literacy |
A researcher wants to know how much beer students drink during a night out. He is curious whether the money a student has to spend per month (in euros) has an influence on the amount of alcohol that the student drinks (measured in the number of glasses of alcohol). Which statistical test or technique is most suitable for testing this?
It is a simple regression.
The dependent t-test (also called the paired t-test or paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.
The chi-squared test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories.
Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables.
Reliability in scientific investigation usually means the stability and repeatability of measures, or the ability of a test to produce the same results under the same conditions
Levels of Difficulty
Easy
M&T Bivariate linear regression
Bivariate linear regression
M&T Model selection
Default value