His/her lowered score was most likely due to statistical regression.
<h3>How to determine the reason?</h3>
The missing options in the question are:
A. compensation rivalry B. Demoralization C. Differential selection
D. Testing E. Statistical regression
From the question, we have:
- September = 99th percentile
- February = 90th percentile
A change (whether higher or lower) in the score is caused by statistical regression.
This is so because several variables could attribute to the change in the score.
The relationship between these variables is referred to as statistical regression
Read more about statistical regression at:
brainly.com/question/25987747
#SPJ12
Answer:
$ 2.72
Step-by-step explanation:
divide 10.88 by 4
The letters spell "ADD AND SUBTRACT LIKE TERMS ONLY".
Answer:
x-axis(independent) = 1.5
y-axis(dependant) = 75ft
Step-by-step explanation:
An INDEPENDENT variable is the variable yourself can not change, in this case its time. The DEPENDANT variable is the variable that is changed to affect data you are solving for. Idk if this helps you at all to understand for future references but i hope it did!
