Answer:
The correct option is;
Low
Step-by-step explanation:
Given that the P-value of the linear correlation = 0.001, we have that the P-value is a demonstration that a linear correlation that has a value in the range of the given correlation is ,most arguably very low
From the z-table, a P-value of 0.001 corresponds to a z-value of -3.09, we have that in a normal distribution since 95% of the scores have a z-score of between -2 and 2, the z-score of -3.09 is very distant from the mean and having a low value, whereby the P-value shows that the likelihood of finding another linear correlation that is as far from the mean as the given correlation is very low.
If you could write out the whole problem exactly how it is, I can solve it for you.
Y = 16, -16
explanation: the absolute value bars make the expression inside positive, if they were negative to begin with. so, a negative number like -16 becomes 16, and a positive number like 16 still stays the same
Answer:
see explanation
Step-by-step explanation:
6 × 24 ← replace 24 by 4 + 20
= 6(4 + 20) ← multiply each term in the parenthesis by 6
= 24 + 120
= 124
Answer:
n > 13.7
Step-by-step explanation:
Writing a symbolic statement, we get:
n - 9.1 < 4.6
Multiplying all three terms by 10 removes fractions:
10n - 91 > 46
Adding 91 to both sides isolates the 10n term:
10n > 46 + 91, or 10n > 137
Then n > 137/10, or n > 13.7
