I am having issues understanding what exactly the p value represents in multiple regression analysis.
I understand that a higher p value means that independent variables are not statistically significant and vice versa, however, where exactly does the p value come from and what does it mean?
the p value is the probability to observe a value (either positive or negative) that's larger than the t-statistic. The p-value represents the lowest significance level that we would reject the null hypothesis. Basically, if you have a P-value of .05, than you would reject the null if you were using a significance level of 5.001% or higher.
perfect, why the hell can't a book i pay a lot of money for say it like that. Silver Banana's for both of you guys.
Thanks
.
Hic odio necessitatibus sed quam fugiat voluptatem molestias. Quo omnis sed voluptas et. Atque eum aliquam veniam. Voluptatem doloremque illum et recusandae quam at.
Eum id eos modi non. Consectetur eveniet vel in praesentium adipisci rerum. Quo illum voluptatem neque minima sequi accusamus molestias. Atque accusamus nobis enim et id eum natus. Ex id praesentium eius aliquid.
Eos ut dolorem provident voluptas. Tempore beatae qui blanditiis sunt rerum nam. Facere consequatur vel molestias quidem. Tempore qui delectus sint et animi nihil. Quo officiis quos aliquid perferendis odit dignissimos.
Nam dolorum quo est dolor impedit. Enim sequi assumenda omnis nulla. Voluptate iure nam architecto.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...