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:
250
Step-by-step explanation:
40%= 100
10%=25
100%= 250
Answer:
4c + 4c + 16c + 90 = 360
Add the like terms
24c + 90 = 360
Subtract 90 when taking it to the other side of the equal
24c = 270
Divide 270 by 24 to get ur answer.
c = 11.25
Explanation: “The distributive property is where a number or value is distributed into a whole equation. Based on the work below as you can see I “distributed” 5 to (3m+4n) meaning I multiplied 5&3m and 5&4n, when I multiply 5&3 that give me 15, and when I multiply 5&4 that gives me 20. So when finally simplified my new equation is 15m+20n”
Make sure when you is the distributive property that you always add the variables because it will be wrong.
Step-by-step explanation:
False