The regression model that best fit the data set is : Y=10.35-0.0467X
Explanation:
The equation of a regression line is given by;
Y=a+bX where b is the slope of the line a is the y-intercept , Y is the dependent variable and X is the independent variable
The slope b is given by;
b = n(∑xy)-(∑x)(∑y) / n(∑x² )-(∑x)²
a=(∑y)(∑x²)-(∑x)(∑xy) /n(∑x²)-(∑x)²
n is the sample size = 4
Form a table as;
x y xy x² y²
2 13 26 4 169
4 8 32 16 64
5 7.5 37.5 25 56.25
8 12 96 64 144
<u>19 40.5 191.5 109 433.25--------sum</u>
<u></u>
a=(∑y)(∑x²)-(∑x)(∑xy) /n(∑x²)-(∑x)²
a=(40.5)(109) - (19)(191.5) / 4(109) - (19)²
a=(4414.5 - 3638.5) / (436-361)
a=776/75
a=10.35
b = n(∑xy)-(∑x)(∑y) / n(∑x² )-(∑x)²
b=4(191.5)-(19)(40.5) / 4 (109)-19²
b=766-769.5 /436-361
b=-3.5/75
b= - 0.04667
The model will be represented by the equation;
Y=10.35 -0.0466X
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Regression Model: brainly.com/question/10209928
Keyword : regression, model, best fit, data set
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Answer:
A key aspect of the process was restricting Native Americans to reservations ... if the children were separated from their parents' influence. ... by the federal government, Christian education and conversion were part of the mission. ... Native-American religious practices can still come into conflict with U.S.
Explanation:
Answer:
i honestly don't know
i kbow alot of people ill ask to see if i can get the answer.
A patriarch is the highest church official.
Answer: the days are long
Explanation:
Alaska experiences some very unusual weather to say the least due to its position so far north of the equator. While some parts of Alaska can go months without seeing the sun, in growing season it is almost the opposite.
During growing season, Alaska experiences very long days with 17 hours of sunlight being in the norm in some areas. This much sunlight is beneficial to plants who take advantage of it and ripen faster so that even though growing season is short in Alaska, they are able to grow quite a significant amount of food.
