<span>the correct answer is -4 - 0.144337567 i</span>
Answer:
Just wanted to say someone already gave you an answer of 62.7° in this question when you asked it before, they also gave a pretty good explanation!
Answer:
9.5 feet
Step-by-step explanation:
15.5-6=9.5
The LinReg line of best fit for this data set is ŷ = -1.24X + 0.66
<h3>What is regression line?</h3>
A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable.
Given:
(−5, 6.3),
(−4, 5.6),
(−3, 4.8),
(−2, 3.1),
(−1, 2.5),
(0, 1.0),
(1, −1.4)
Sum of X = -14
Sum of Y = 21.9
Mean X = -2
Mean Y = 3.1286
Sum of squares (SSX) = 28
Sum of products (SP) = -34.6
Regression Equation,
ŷ = bX + a
b = SP/SSX = -34.6/28 = -1.23571
a = MY - bMX = 3.13 - (-1.24*-2) = 0.65714
ŷ = -1.23571X + 0.65714
ŷ = -1.24X + 0.66
Learn more about regression line here:
brainly.com/question/7656407
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Answer:
This is known as Data dredging.
Step-by-step explanation:
In order for any statistical analysis to be significant, a researcher has to first generate a hypothesis.
Data dredging is trying to uncover patterns in data that can be presented statistically without devising a clear hypothesis by use data mining. It is also referred to as data fishing or p-hacking.
In this case any correlation (relationship between cause-effect)will be purely by chance.
Therefore, the investigator is Data dredging