We notice that the common ratio of teh sequence is 10, and that the first term is -0.56, then the recursive formula is:
Step-by-step explanation:
Regression analysis is used to infer about the relationship between two or more variables.
The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.
<u>Method 1:</u>
Using regression analysis the line of best fit is: 
Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.
The formula to compute the intercept is:

Here<em> </em>
and
are mean of the <em>y</em> and <em>x</em> values respectively.

The formula to compute the slope is:

And the formula to compute the error is:

<u>Method 2:</u>
The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.
The equation of the line of best fit is:

Here <em>r</em> = correlation coefficient = 
and
are standard deviation of <em>x</em> and <em>y</em> respectively.

You distribute. First 3,000* 7.Then 600 *7. Then 40*7. Then 9 AM. Add it up Hopefully this helps
Tbh I forgot :)
Answer:
down below
Step-by-step explanation:
1) 4% of 120 = 4.8, so 120+4.8 = 124.8 cm tall
2) 12% of 6000 = 720 . 6000-720 = 5280 gallons
3) 22% of 200 = 44 . 200-44 = 156
4) 30% of 40 - 12 . 40 - 12 = $28
5) 35% of 140 = $49 . 140 + 49 = $189