Answer:
The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).
Step-by-step explanation:
The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).
Residual Value = Observed Value - Predicted Value
<em>Since the residual value of -4.5 is negative, we can say the predicted value is larger than the observed value. In other words, the line of best fit is "above" the scatter plot point in that specific point.</em>
Answer:
18. Sqrt40 goes between 6 and 7.
19. Sqrt83 ~= 9
Step-by-step explanation:
For both of these problems, it's really useful to be very familiar with the perfect squares on the times table. 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225...
On #18, we're looking at the sqrt40. This will be between sqrt36 and sqrt49, because 40 is between 36 and 49. But sqrt36 is 6 and sqrt49 is 7. So sqrt40 is between 6 and 7.
For #19, the sqrt83 is far closer to sqrt81 than it is to sqrt100. Sqrt81 = 9. So sqrt83 is very close to 9, it would round to 9 and not 10.
Third one I think 10,20,30,40
So her trainer travels 20miles(using the Pythagoras theorem) while she travels 12+16=36 so the answer is 36-20=16
The first one because the answer is 5.67232
