Allowed 'separate but equal,' also known as segregation, to become law in the United States.
Answer:
The French and Indian War
Explanation:
The French and Indian War was a conflict between Britain and France in North America. This war lasted from 1754 to 1763.
This war was won by Britain, with the help of the American colonists. One of the military commanders was in fact George Washington.
The British victory at first increased loyalty to Britain in the colonies, but because the war had been very expensive, Britain resorted to increased taxation on the colonies, which naturally led to increased tensions, which would ultimately result in the American Revolution.
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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The Answer Fam is C♣♣♣♣♣ Might Be Wrong
Because <span>Humanism promoted the study of classical works that stimulated exploration of science.
Humanism is the belief that focusing all the prime importance to human rather than something holy or spiritual. This belief lead to people focuses on what's wrong with the human when occurrence such as illness or disorders happen rather than believing that it's a supernatural occurrence. This lead to the exploration of science to find out the truth.</span>
