Answer:

Step-by-step explanation:
Given
The x and y values
Required
The regression line equation
Because of the length of the given data, I will run the analysis using online tools, then analyze the result.
From the analysis, we have:


 
 
 --- Sum of squares
 --- Sum of squares
 --- Sum of products
 --- Sum of products
The regression equation is calculated as:

Where:

So, we have:

 



So:
 becomes
 becomes

 
        
             
        
        
        
Answer:
2/5
Step-by-step explanation:
40 students drive to school
40/100 drive to school
2/5
 
        
                    
             
        
        
        
Answer:
Step-by-step explanation:
From the given information:
We can compute the  null hypothesis & the alternative hypothesis as:


The degree of freedom = n - 1
The degree of freedom = 5 - 1
The degree of freedom = 4
At the level of significance of 0.05 and degree of freedom 4,
the rejection region = 9.488
However, we can compute the chi-square X² goodness of fit test as:
     
months  frequency (p)  observed O Expected E  Chi-square 
Dec          0.2                  16                   16                 
       
Jan           0.250             11                   20                 
       
Feb           0.200             16                  16                  
       
Mar           0.200             18                  16                 
Apr           0.150               19                  12                 
Total            1.000           80                 80                                  8.3833    
∴
The test statistics X² = 8.3833
Thus; we fail to reject the  since test statistics X² doesn't fall in the rejection region.
 since test statistics X² doesn't fall in the rejection region.
Therefore; there is sufficient evidence to conclude that the distribution of snowfalls in her hometown is not similar to the claimed percentage.