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 products
The regression equation is calculated as:

Where:

So, we have:




So:
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.
Therefore; there is sufficient evidence to conclude that the distribution of snowfalls in her hometown is not similar to the claimed percentage.