Easy
Multiple Linear Regression
SPSS
Free
You run a multiple linear regression in SPSS predicting job performance from training hours and years of experience. SPSS shows in the Coefficients table: training hours has B = 0.40, t = 2.50, Sig. = .014, and experience has B = 0.05, t = 0.80, Sig. = .425 (α = .05). Which conclusion is most appropriate?
A
Both predictors are significant because the overall model uses both variables.
B
Training hours is a significant predictor of job performance, but experience is not, controlling for training hours.
C
Experience is significant because its B value is positive (0.05).
D
Neither predictor is significant because at least one predictor has p > .05.