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.
From the stemplot, it can be taken that:
Both were very consistent home run hitters, due to the great amount of seasons with at least 20 home runs. Bonds had the biggest outlier, with a season of 73 home runs, while Aaron distribution was less spread.
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- From the stemplot, it can be taken that Bonds had the biggest outlier, which was the season with 73 home runs.
- His season with the lowest amount of home runs was also less than Aaron, as he had a 5 home run season while Aaron lowest amount was 10.
- They both had a lot of seasons with at least 20 home runs, so both very consistent.
Thus, we can take that:
Both were very consistent home run hitters, due to the great amount of seasons with at least 20 home runs. Bonds had the biggest outlier, with a season of 73 home runs, while Aaron distribution was less spread.
A similar problem is given at brainly.com/question/24341344
i also need help on this question i have a big test tommorow this will really help me
7^-2= 1/7^2
= 1/14
= 0.071429
