Answer:
The predicted calories would be 403 calories.
Step-by-step explanation:
We have a linear regression model relating y: calories with x: carbohydrates, which has a slope of 4.0 and a y-intercept of 3.0.
Then, the model equation is:
With these model we can predict the calories values for any amount of carbohydrates, within the interval within which this model is valid.
If a new food is tested, and the number of carbohydrates (x) is 100, the predicted value will be:
The predicted calories would be 403 calories.
Answer: Random
Step-by-step explanation:
- In statistics , a random sampling technique is a simple sampling technique in which researcher choose 'n' individuals from N population , such that the chances for each individual to get selected are equal as
.
Here , the company wants to administer a satisfaction survey to its current customers.
So , Population → All current customers
Using their customer database, the company randomly selects 80 customers , it means each customer had the same chance to get selected.
Hence, the type of sampling is used : Random sampling
Hence, the correct answer is "Random" .
Answer:
Question 2: 4^12
Question 3: (9/64x)^11
Step-by-step explanation:
Answer: y = 
x + 8
Step-by-step explanation:
This is asking us to remove the parameter. In other words, we want an equation with only the relation between x and y, so we need to remove the t. There are a few ways to do this, but I am going to set one equation equal to t and then plug it into the next one.
Given:
x = 5t
Divide both sides of the equation by 5:
t = x
-
Given:
y = t + 8
Plug in:
y = (x) + 8
Answer:
y = x + 8
DAnswer:
Step-by-step explanation:
