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:
Climate/Geography Colonists in the New England colonies endured bitterly cold winters and mild summers. Land was flat close to the coastline but became hilly and mountainous farther inland. Soil was generally rocky, making farming difficult.
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Answer:
house of representatives and the senate
Explanation:
Established by Article I of the Constitution, the Legislative Branch consists of the House of Representatives and the Senate, which together form the United States Congress.
Answer: The statement here is absolutely correct.
Explanation: In order to understand that why this answer is correct, I will provide you with a little insight of the history. The term vassal originated with the emergence of feudalism in the middle ages, at that time all the land was the possession of the ruling Aristocrat. The Aristocrat will reward their lands to vassals expecting that they will protect the Aristocrat in return. Whenever, some vassal will fight for the Aristocrat, the Aristocrat will provide him with a land and expect him to protect the the Aristocrat for rest of his life.
People where using the tv more than the radio. Radios where being bought less. And TV's where being bought more.
