If you’re asking what -11 times -6 is it’s going to be 66!
we are given that
f(x) is defined for all values of x except at x=c
Limit may or may not exist
case-1:
If there is hole at x=c , then limit exist
case-2:
If there is vertical asymptote at x=c , then limit does not exist
Examples:
case-1:

We can simplify it



so, we can see that limit exist and it's value defined
case-2:

Left limit is


Right Limit is


so, we can see that left limit is not equal to right limit
so, limit does not exist
a) naturals numbers, integers, rational numbers, real numbers
b) integers, rational numbers, real numbers
c) irrational numbers, real numbers
d) rational numbers, real numbers
e) naturals numbers, integers, rational numbers, real numbers
f) naturals numbers, integers, rational numbers, real numbers
Answer:
3 8-ounce glasses of water were left
Step-by-step explanation:
If you divide 32 by 8, you get 4. And since she already drank a glass of water, you subtract 1 from 4, and you are left with 3.
Answer:
Check Explanation
Step-by-step explanation:
- Write a statement that interprets that prediction interval.
The prediction interval (58.2 kg, 124.6 kg) represents the range of values that the true predicted weight for a height of 185 cm using the regression obtained from the data can actually, possibly take on to a certain level of confidence.
- What is the major advantage of using a prediction interval instead of simply using the predicted weight of 91.4 kg?
The prediction interval is better to use instead of just using a predicted weight because in computing the prediction interval, we consider all the factors, biases and significant factors that can introduce uncertainties into the regression used to just find the predicted weight.
So, the prediction interval is more encompassing and has a better chance of containing the true weight that corresponds to the height 185 cm because it incorporates so many things thay can go wrong with the regression into its computation unlike the predicted weight.
- Why is the terminology of prediction interval used instead of confidence interval?
This is because the interval is obtained from the regression results, used in predicting weights, given height.
Confidence interval is used for numerical distributions to estimate the interval of range of values where the true population mean can be found with a certain level of confidence.
Hope this Helps!!!