Table 10 reveals the results in the numerous linear regression research

Table 10 reveals the results in the numerous linear regression research

Such as Try step 1, during the Experiment dos Hormone Period got a really high linear association with Gender, thus Hormones Stage is removed from the new model, since the Gender is correlated that have Data recovery SSQ TS however, Hormone Duration was not (come across Desk nine). Virtually any predictor variables focused to have addition was in fact systematically extra and you will taken off new design in accordance with the F-fact and you will multicollinearity till the model could don’t become somewhat improved.

The resulting model, which had an R2 = 0.322, Adjusted R2 = 0.301, RMSE = , F(cuatro, 130) = , p = 0.001, was as follows:

age., just how long an individual managed to remain in VR) try adversely synchronised so you’re able to cybersickness. As with Try out step one, IPD non-fit was seen to be by far the most influential changeable, with actions infection background. It model taken into account thirty two.2% of one’s variability within the cybersickness. Follow-upwards analyses revealed that new design enacted the latest assumptions regarding numerous regression and additionally normality and you will liberty out of residuals.

Check out dos Realization

Like Try out step 1, Test 2 discovered that the primary driver away from cybersickness try IPD non-fit, accompanied by action problems background.