Answer:
Question 13: 90, Question 14: y =
, Question 15: x =
, Question 16: y =
.
Step-by-step explanation:
Terms: 3n, 5p, 2, n
Like Terms: 3n, n
Coefficients: 3, 5, 1
Constants: 2
Simplified Expression: 4n + 5p + 2
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.
Answer:
1) 11
2) 4
Step-by-step explanation:
1) It is 11 because in the first row we ignore the 0 since it is referring to the first digit, so the first row has 7. In the second row, we ignore the one so it would be 4 because the 9, or would be 19, is above 18.
2) It is 4 because there is one person over 65. In the second row we ignore the 7 and there are 3 people in the 7 row.