Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-equation-1026-en_vufsw-equation-1026-en |
name | vufsw-equation-1026-en |
section | inferential statistics/regression/equation |
type | schoice |
solution | TRUE, FALSE, FALSE, FALSE |
Type | interpreting output |
Program | NA |
Language | English |
Level | statistical literacy |
If you were researching the effect of hours of training (predictor) and attitude (moderator) on the performance of a specific skill (e.g. the number of goals scored: performance) and the regression results give you the following regression equation, which of the following statements is incorrect?
All the variables in this regression are mean-centred.
performance = 1.23* + 0.112 × attitude + 0.531* × hours + 0.167* × attitude × hours
* indicates a statistically significant effect
The correct answer is the option "The effect of hours training on the performance of a specific skill is lower for higher scores of attitude than for lower scores of attitude". This is correct because the statement is incorrect! The regression equation shows that the interaction effect (0.167) is positive and not negative as the statement suggests. This means that the effect of hours on performance increases with attitude.
The option “The effect of hours training on the performance of a specific skill is higher for higher scores of attitude than for lower scores of attitude” is incorrect because the statement is correct! The regression equation shows that the interaction effect (0.167) is positive. This means that the effect of hours on performance increases with attitude.
The option “The mean score in performance in a specific skill equals
1.23 if hours of training and attitude equal its mean values” is
incorrect because the statement is correct! Both attitude and hours are
mean-centred, so when these variables take their mean value, they should
be replaced with 0 in the regression equation. This means that in that
case, performance would equal the constant = 1.23.
performance = 1.23* + 0.112 × attitude + 0.531* × hours + 0.167* × attitude × hours = 1.23 + 0.112 × 0 + 0.531* × 0 + 0.167* × 0 × 0 = 1.23
The option “If the variable hours of training equal its mean, then an increase of attitude by 1 unit results in a mean increase of performance by 0.112 units” is incorrect because the statement is correct! Hours training is mean-centred, so when this variable takes its mean value, it should be replaced with 0 in the regression equation. In this case, the effect of attitude on performance is 0.112.
performance = 1.23* + 0.112 × attitude + 0.531* × hours + 0.167* × attitude × hours = 1.23 + 0.112 × attitude + 0.531* × 0 + 0.167* × attitude × 0 = 1.23 + 0.112 × *attitud**e*