Conclusions

Sample correlation Coefficient:

Y decreases an ______ for every 1 std Deviation increase of X.

bo:

Predicted Y are _____ when X=0.

b1:

Y decreased an average of _____ for every additional X. / for every 1 point increase in X.

If one says decrease, both will say decrease.

Residual:

Because it’s negative, the module overpredicted. 

Overpredicted

Underpredicted

Perfect fit

R²:

75.4% of the variation in Y was explained by the model.

True relationship

B1

We are 95% confident that B1 lies inside of the interval.

ME:

Our model is 95% confident that the slope we drew fell within 2.93 Y points of the true slope/ true relationship between X and Y.

( , )

Due to - , + , It will be barely insignificant.

The model can not say with 95% confidence that B1 is negative or positive, so it’s insignificant.

Individual significance test:

Ho

Ho

We don’t reject Ho with X=0.05. X is statistically insignificantly related to Y.

-if we reject Ho, we’ll say that X is significantly related to Y. AND we found evidenve that B1 is not =0.

-If we don’t reject Ho, we’ll say that X is insignificantly related to Y. AND we found no evidence of a relationship. 

True mean

We are 95% confident that the true mean Y given x=5 lies inside the interval.

Prediction interval

We are 95% confident that Y given x=5 lies inside the interval.