"Correlation does not imply causation<span>" is a phrase used in </span>statistics<span> to emphasize that a </span>correlation<span> between two variables does not imply that one </span>causes the other. Correlation is the relationship between two sets of variables used to describe or predict information. Causation<span>, also known as cause and effect, is when an observed event or action appears to have caused a second event or action.
Hope this helps. :)</span>
Aldo had $421.60 in his account at the end of 1 year. 400 x 5.4% = $21.6 in interest from one year. $400 + $21.60 = $421.60
Answer:
The y intercept would be (0, 1/3)
The number at the end is always the y value. In a y intercept x is always 0.
Answer:
8 +3i
Step-by-step explanation:
(9 + 6i) − (1 + 3i)
Distribute the minus sign
(9 + 6i) − 1 - 3i
Combine like terms
9-1 + 6i -3i
8 +3i
Answer:-4x squared minus 2x plus 6
Step-by-step explanation:
