00:01
Our first problem is to give the regression line, and i'm going to give that in the form of a plus bx, where x is going to stand for the state x, and, or the state anxiety, and this is going to be the trait anxiety.
00:20
And that value comes out to be, or those values for that analysis are y hat equals negative .144, and it would round to 4, plus .9239 times x.
00:44
And it says b, calculate the predicted trait anxiety score if you have an x value of 5.
00:57
So we want to input 5 into that model.
01:00
And when we do, i can use my variables, statistics, and go to eq to get that equation, and then just back it up and enter that 5 in place of x right here.
01:12
And that gives me a predicted score of 4 .475...