B. It is vertically stretched by a factor of 4. If you had x^2 versus 4x^2, when x is positive and increasing, 4x^2 is increased by 4 for every value of x.
160 was the original price.
We know this because 25% is the same as I think of it as a quarter 25x4=100
So you would have to do 40x4=160
Your welcome.
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.
I would say, well I THINK It's 2
Answer:
your cute to
Step-by-step explanation:
