A plot of residuals (vertical deviations from the regression line) shows the errors or lack of fit, so it would indicate a good fit if the residuals are small, vs. over fit if they are large. Due to age related growth short pre teen, and a plateau after age 21, I would expect a linear regression would offer estimate age 5.5 years.
I have no clue but you could ask your teacher to help u with it no jk the answer is -7
T=4(r-1.5)
4(3.59-1.5)=t= 8.36 dolla
Enjoy.
Answer:
y=4x+1
Step-by-step explanation:
1. 4x-y=2
-y=-4x+2 divide both sides by -1
y=4x-2
2. y-y1=m(x-x1)
y-(-3)=4(x-(-1))
y+3=4x+4
y=4x+4-3
y=4x+1
Parallel lines have the same, so the equation we are making should have the slope of 4.
Let P = the PV (principal value).
n = 12, the monthly compounding interval
r = 2 = 0.02, the rate
nt = 20 months
The value if $20,000 after 20 months, therefore
P(1 + r/n)²⁰ = 20000
1.0339P = 20000
P = $19,344.86
Answer: PV = $19,344.86
