Suppose that I scores have a bell shaped distribution with a mean of 96 and a standard deviation of 14. Using the empirical rule
1 answer:
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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.
Hello, thanks for using Brainly!
First, our equation is: x
Our first step is to simplify.
When you simplify you get 3 1/8.
This is another way you can get it: (Multiply across. )
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