Answer:
b. Pearson's correlation can be used in the same way as it is for linear relationships
Explanation:
Pearson's correlation can also be termed "simple linear regression analysis" is a statistical measure used to determine if two numeric variables are significantly linearly related. Pearson's correlation coefficient is used to measures the statistical relationship or association between two continuous variables.
First, convert into a decimal:
1/10,000,000 = 0.00000001
Next, convert to "the number with a power of 10 using a negative exponent. Move the decimal point to the first <em>number that is not 0</em> (sorry, there is a term for it, but i can't remember it right now, but it is not important to solving the answer)
0.000001 = 1 * 10^-7
1 * 10^-7 is your answer
~
4,760 and then if there’s a unit of measurement
Answer:
i think it is the last one.
Answer: Associative property
Step-by-step explanation:
