Answer:
2
Step-by-step explanation:
well if you get all of the fractions into percentage form they will be 20%for green 8% for blue so in turn it would mean 8% of 15 is 2
Hey there!
This seems like a
algebraic expression
SO,
Remember: negative and negative =
positive positive and positive =
positive positive and negative =
negative negative and positive =
negative
In
this problem we will be doing
negative and negative so that means our answer will be
a negative
Firstly, lets line up our decimals to solve this problem (once when you do that , you can solve it easier)

Answer: 
Good luck on your assignment and enjoy your day
~
Answer:

Step-by-step explanation:
We are told that the average human heart beats
times per day and there are
days in one year.
To find number of heart beats in one year we will multiply number of heart beats in one day by number of days in one year.

Now we will solve this problem using exponent properties.



Our answer is in scientific notation we can represent it in standard form as
times.
Therefore, average human heart beats in one year
or 41975000 times.
Answera and Step-by-step explanation: Correlation Coefficient is the measure of how strong two variables are. There are numerous types of correlation coefficients and the product moment correlation coefficient, also known as <em>Pearson's correlation</em> or <em>Pearson's R</em> is most commonly used in linear regression. The formula to calculate it is:
r = n(∑xy) - (∑x)(∑y) / √[∑x² - (∑x)²].[n∑y² - (∑y)²]
To find the value of R:
1) Separate the values of X and Y and out them in 2 columns.
2) Add 3 more columns: for xy, x² and y²;
3) Find the values of each column;
4) Add each column;
5) Put the sum of each column in its place on the formula above;
6) Find the correlation.
i) For this question, r = 0.9645. As it's <u>positive</u>, means that the two variables are directly linked, i.e., an increase in one variable will produce an increase in the other variable in the same proportion.
ii) The Senator should distribute Norvasc to the old adults groups, because, as the <u>population grows</u>, the death associated with high blood pressure will <u>also grow</u>, as explained by the correlation coefficient.