- Slope-Intercept Form: y = mx+b, with m = slope and b = y-intercept
 
So perpendicular lines have <u>slopes that are negative reciprocals</u> to each other, but firstly we need to find the slope of the original equation. The easiest method to find it is to convert this standard form into slope-intercept.
Firstly, subtract 3x on both sides of the equation: 
Next, divide both sides by -4 and your slope-intercept form of the original equation is 
Now looking at this equation, we see that the slope is 3/4. Now since our new line is perpendicular, this means that <em>its slope is -4/3.</em>
Now that we have the slope, plug that into the m variable and plug in (-4,-5) into the x and y coordinates to solve for the b variable as such:

<u>In short, your new equation is y = -4/3x - 10 1/3.</u>
 
        
                    
             
        
        
        
Answer:
x=20
Step-by-step explanation:
x-15=5
 x=5+15
 x=20
 
        
             
        
        
        
Answer:
Answer:
y = \frac{x}{36}y= 
36
x
 
 
Step-by-step explanation:
Given
Length of string = x inches
Required
Determine the length in yards
Represent the equivalent length with y
Such that
y = x\ inchesy=x inches
Divide x by 36 to get equivalent in yards
y = \frac{1}{36} * xy= 
36
1
 
 ∗x
y = \frac{x}{36}y= 
36
x
 
 
Hence, the equivalent in yards is \frac{x}{36} 
36
x
 
 
        
             
        
        
        
Answer:
∠z = 55°
Step-by-step explanation:
90° - 35° = 55°
 
        
             
        
        
        
Answer:
a
   The null hypothesis is  
          
The Alternative  hypothesis is  
            
b
      
c
    
d
   Yes the  mean population is  significantly less than 21.
Step-by-step explanation:
From the question we are given 
            a set of  data  
                                20  18  17  22  18 
        The confidence level is 90%
        The  sample  size  is  n =  5  
Generally the mean of the sample  is  mathematically evaluated as 
         
        
The standard deviation is evaluated as 
         
          
          
Now the confidence level is given as  90 %  hence the level of significance can be evaluated as 
          
         
%
          
Now the null hypothesis is  
          
 the Alternative  hypothesis is  
            
The  standard error of mean is mathematically evaluated as 
          
substituting values
          
         
The test statistic is  evaluated as   
               
substituting values
               
               
The  critical value of the level of significance is  obtained from the critical value table for z values as   
                    
Looking at the obtained value we see that 
 is greater than the test statistics value so the null hypothesis is rejected