Answer:yes
Step-by-step explanation:
I = p*r*t
264=p*.06*2
Divide both sides by .12
P=$2200
Answer: He ran 8 miles on week 5, which was an improvement of 6.4 miles compared to the 1.6 miles he ran on the first week,
Step-by-step explanation:
In the fifth week, the ratio of the number of miles he ran to the number of miles he walked improved to 8:5
Nash ran 8 miles in 5 weeks.
In 1 week he ran 1.6 miles
8 - 1.6 = 6.4
<u>Answer-</u>
<em>The </em><em>exponential model</em><em> best fits the data set.</em>
<u>Solution-</u>
x = input variable = number of practice throws
y = output variable = number of free throws
Using Excel, Linear, Quadratic and Exponential regression model were generated.
The best fit equation and co-efficient of determination R² are as follows,
<u>Linear Regression</u>
<u>Quadratic Regression</u>
<u>Exponential Regression</u>
The value of co-efficient of determination R² ranges from 0 to 1, the more closer its value to 1 the better the regression model is.
Now,
Therefore, the Exponential Regression model must be followed.
Answer:
<h3> A.
</h3>
Step-by-step explanation: