WILL GIVE BRAINLYEST TO FIRST NEED ASAP
2 answers:
You might be interested in
Question is Incomplete; Complete question is given below;
Roger is having a picnic for 78 guests. He plans to serve each guest at least one hot dog. If each package, p, contains eight hot dogs, which inequality could be used to determine how many packages of hot dogs Roger will need to buy?
1)
2)
3)
4)
Answer:
2)
Step-by-step explanation:
Given:
Number of guest in the picnic = 78 guest
Number of hot dog each guest will have = 1
Number of hot dogs in each package = 8 hot dogs.
We need to write the In equality used to determine the number of packages of hot dogs roger must buy
Solution:
Let the number of packages be 'p'.
First we will find the total number of hot dogs required.
so we can say that;
total number of hot dogs required is equal Number of guest in the picnic multiplied by Number of hot dog each guest will have.
framing in equation form we get;
total number of hot dogs required =
Now we can say that;
Number of hot dogs in each package multiplied by number of packages should be greater than or equal to total number of hot dogs required.
framing in equation form we get;
Hence The In equality used to determine the number of packages of hot dogs roger must buy is .
Answer:
The dependent variable is the final grade in the course and is the vriable of interest on this case.
H0:
H1:
And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.
Step-by-step explanation:
On this case w ehave the following linear model:
Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by and the intercept is
Which is the dependent variable, and why?
The dependent variable is the final grade in the course and is the vriable of interest on this case.
Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?
Since we conduct a regression the hypothesis of interest are:
H0:
H1:
And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.