Answer:
down below :)
Step-by-step explanation:
the answer is x = - y/2 + 5/2
your welcome hope this helped
Answer:
? wouldn't it be obtuse
Step-by-step explanation:
Answer:
question 11 - $20,020.83
question 13 - $97,200
Step-by-step explanation:
I=prt
I = 450 x 6% x 8
I=prt
I= 116.25 x 1550 / 9
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.
Answer:
4in
Step-by-step explanation:
So the area is base times height. We have the area, which is 24, and we have the height, which is 6. So we do, 24/6=4.
