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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Step-by-step explanation:
I think the fig.. will helps you a lot...
It tells us that:
(-2,4)
(-1,3)
(1,6)
(3,5)
(4,8)
Look at (3,5) ... it tells us that x = 3 and y = 5
So y = 5
Answer: 875 is the answer for your question
350 x 2.5 = 875 or 875 divided by 2.5 = 350
Pls mark me as brainliest
<span>You should reject or fail to reject the null hypothesis. the samples are random and independent. claim: mu 1μ1less than
50.</span>
