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
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A linear function has 1 as the highest power of the variable.
A. f(x) = 2 - 7x
here, the highest power of the variable x is 1.
Hence it is a LINEAR function.
___________
B. f(x) = 2 + x + x^2
here, the highest power of the variable x is 2.
Hence it is NOT a linear function.
_______________
here, the highest power of the variable x is 1/2.
Hence it is NOT a linear function.
________________
Answer:
75 minutes
Step-by-step explanation:
if it takes 30 minutes to paint 2/5 of the room, then it must take 15 minutes to paint 1/5 of the room.
15 * 5 = 75 minutes or 5/4 hours
Answer:
-7×-9
=63
Step-by-step explanation:
If u multiple - with -, I'll get + sign
