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.
Differentiating once, we have

Differentiating again,


as needed.
The midpoint between the two points are (0,1/2)
Answer:
<h2>48</h2>
Step-by-step explanation:
so for every 3 Reid washes there are 4 Elsie washes
the ratio of washing is 3:4
lets add 3 and 4 up
3 + 4 = 7
now lets divide the total number of washes by the added ratio
84/ 7
=12
now we know that 1 part is 12
to find Elsie's part we need to x 12 by how many parts she has got
she washed 4 times
4 x 12
=48
Answer:
230
Step-by-step explanation:
20x11=220
20x0.5=10
220+10=230