Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-slope-1272-en_vufsw-slope-1272-en |
name | vufsw-slope-1272-en |
section | inferential statistics/regression/slope |
type | schoice |
solution | FALSE, TRUE, FALSE, FALSE, FALSE, FALSE |
Type | interpretating output |
Program | NA |
Language | English |
Level | statistical literacy |
A researcher runs a multiple regression to determine which factors affect how much people watch TV (Y). The data come from the European Social Survey of 2014. The questionnaire is administered to a random sample of residents of the Netherlands 18 years old or older (N=1362). The dependent variable Y is measured with a question with answer options varying from 1 (“less than half an hour per day”) to 7 (“more than 3 hours per day”). Education (Educyrs) is measured in the number of years that the respondent has followed education. The scores in this variable vary from 0 to 28 years. The table below presents the results of this regression.
Fill in the blanks:
If an individual that has followed the 10 years in education is compared with someone that has followed 11 years of education, we expect a lower score in watching TV by ___________ [Text 1].
If we run a two-sided test with a significance level of 5% (α = 0.05), we can conclude that the effect of the number of years of education is significant, because the P-value equals _______________ [Text 2].