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

 
        
             
        
        
        
So we need to convert 0.75 feet to inches. 
0.75 feet = 9 inches
Then we divide 9 by how many hours are in a day: 24
9/24 = 0.375
The raindrop vine can grow up to 0.375 inches per hour. 
 
        
                    
             
        
        
        
Answer: 
Step-by-step explanation:
Given
Population of dust particle doubles every 30 minutes
If the initial sample is 21 grams
The model to predict the population will be

Where t=time in hours
A day has 24 hours . So, for 2 days time is 48 hours
Population is given by 
 
 
 
        
             
        
        
        
Answer:
3/2
Step-by-step explanation:
It is proportional because it is 6/4 simplified.
 
        
                    
             
        
        
        
Answer:
V = J = 92
Step-by-step explanation:
The angles are the same on both shapes.