Answer:
it's either a win or lose
Answer:
umm what
Step-by-step explanation:
Answer: It is usefull.
Step-by-step explanation:
The regression squared talks to us about how well the model fits in the experimental data, where 0.0 means that the model does not fit at all, and 100% means that the model fits perfectly.
This is always true? well, really not, there are cases where you can have a regression square of 0.98, which would imply that the model is correct, but when you see the residual vs fit the plot, you may see some pattern, which implies that there is a problem with the model (you always expect to see randomness when you look at this graph). While for a prediction, this actually may work (at least in the range of the data points, outside this range the model and the data may not coincide at all)
Now, it still is useful in a certain range, so we can actually conclude that if R^2 = 0.949 represents a model that is useful for predicting the exam marks.
If I am correct the answer is 1.
You can do multiply 3 by 6/8 which will give you 2 1/4 or if in a decimal 2.25.
Then do 3 by -1/2 which will give you -1 1/2 and in decimal its -1.5.
You continue with the equation, 2.25 -1.5 = 0.75 + 0.25 = 1
Add them all together and you get 1...!
Hope this Helps :)
The GCF would simply be 1 because 19 is a prime number. This means that the only factors of 19 are 1 and 19, while the factors of 22 would be 1, 2, 11, and 22. The only factor they share is 1, so their greatest common factor is 1.