The least squares regression line is obtained when the sum of the squared residuals is minimized.
1 answer:
This is true, because the LSRL does get its line when minimizing the sum of the squares difference between the observed (x value) and predicted (y-at)
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Answer:
x=50
Step-by-step explanation:
x in (-oo:+oo)
(2/5)*x+10 = 30 // - 30
(2/5)*x-30+10 = 0
2/5*x-20 = 0 // + 20
2/5*x = 20 // : 2/5
x = 20/2/5
x = 50
x = 50
0.93m= 93 cm
15mm= 1.5 cm
7.5 cm
93x1.5x7.5=1046.25 cm3
The line of symmetry is 1
notice the first term is -10, and the common difference is 3, so we add 3 to get the next term.
check the picture below.
Answer:
x= -8 x= 1
Step-by-step explanation: