Answer:
The Y-intercept value for the regression equation is -2
Step-by-step explanation:
The linear regression has the form: y = a + b*x, where a is the Y-intercept and b is the slope. To find the a compute the following:
a = MY - b*MX
where MX and MY denotes mean for the X and the Y respectively. Replacing:
a = 6 - 4*2 = -2
Answer:
The answer is Option E; both B and C are correct
Step-by-step explanation:
Both (b) and (c) are correct. Simpson's paradox is a paradox in which a trend that appears in different groups of data disappears when these groups are combined, and the reverse trend appears for the aggregate data. This result is often encountered in social-science and medical-science statistics, and is particularly confounding when frequency data are unduly given causal interpretations. Simpson's Paradox disappears when causal relations are brought into consideration.
Now, this question is an example of Simpsons paradox because the groups of collected data over a period of time from five major cities showed a trend that StatsAir does better overall, but this trend is reversed when the groups are studied separately to show that air median does better.
So, option B is correct.
Also, City is a variable that influences both the dependent variable and independent variable, causing a spurious association. That is it is the cause of why the 2 results are biased. Thus, city is a lurking variable.
So, option C is also correct
The slope from point G to point H is -3/1 or -3
Plug into points into formula with the corresponding x and y variables.
(x1,y1), (x2,y2)
Solve
m=-3/1
m=3
Here you go <span> 1.17 × 10^</span><span>9
</span>
Answer:
502m
Step-by-step explanation:
let x and y represent the length and breadth of rectangular meadow respectively.
Given,
Perimeter of the meadow =1004m
or,2(l+b)=1004m
or2(x+y)=1004m
orx+y=1004m/2
or,x+y=502m
i.e sum of length and breadth
