Answer:
Lateral = 48 cm squared and Surface area = 60 cm squared
Step-by-step explanation:
Lateral surface area  = 4 x 4 + 5x4( Slope) +  4 x 3 (Cross section x2) = 48
Surface area: Lateral + 4x3(base)
 
        
             
        
        
        
 . Multiplying the denominator by
. Multiplying the denominator by  gives
 gives

Subtracting this from the numerator gives a remainder of

 . Multiplying the denominator by
. Multiplying the denominator by  gives
 gives

and subtracting this from the previous remainder gives a new remainder of

This last remainder is exactly the same as the denominator, so  divides through it exactly and leaves us with 1.
 divides through it exactly and leaves us with 1.
What we showed here is that



and this last expression is the quotient.
To verify this solution, we can simply multiply this by the original denominator:



which matches the original numerator.
 
        
                    
             
        
        
        
The modifications made to the list of assets and liabilities that would result in an increase in net worth is Option D. Net worth is defined as the value of all the non-financial and financial assets owned by an individual or an institution.
All of the above (Putting $100 in savings, Paying $100 on credit cards and Getting paid $100)
 
        
                    
             
        
        
        
Answer:
Subtract 6
Step-by-step explanation:
The answer is subtract six because you subtract six every time in the pattern.
 
        
                    
             
        
        
        
The coefficient of determination can be found using the following formula:
![r^2=\mleft(\frac{n(\sum ^{}_{}xy)-(\sum ^{}_{}x)(\sum ^{}_{}y)}{\sqrt[]{(n\sum ^{}_{}x^2-(\sum ^{}_{}x)^2)(n\sum ^{}_{}y^2-(\sum ^{}_{}y)^2}^{}}\mright)^2](https://tex.z-dn.net/?f=r%5E2%3D%5Cmleft%28%5Cfrac%7Bn%28%5Csum%20%5E%7B%7D_%7B%7Dxy%29-%28%5Csum%20%5E%7B%7D_%7B%7Dx%29%28%5Csum%20%5E%7B%7D_%7B%7Dy%29%7D%7B%5Csqrt%5B%5D%7B%28n%5Csum%20%5E%7B%7D_%7B%7Dx%5E2-%28%5Csum%20%5E%7B%7D_%7B%7Dx%29%5E2%29%28n%5Csum%20%5E%7B%7D_%7B%7Dy%5E2-%28%5Csum%20%5E%7B%7D_%7B%7Dy%29%5E2%7D%5E%7B%7D%7D%5Cmright%29%5E2)
Using a Statistics calculator or an online tool to work with the data we were given, we get
So the best aproximation of r² is 0.861