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3 years ago

Y-3=? Help please!! Thank you!

2 answers:

5 0

It's just y-3 because they aren't like terms if you're talking about algebra.

This question was brief so I'm not sure what you're a skin but this is the algebra answer.

mario62 [17]3 years ago

4 0

Answer:

\mathrm{Axis\:interception\:points\:of}\:Y-3:\quad \mathrm{X\:Intercepts}:\:\left(3,\:0\right),\:\mathrm{Y\:Intercepts}:\:\left(0,\:-3\right)

Step-by-step explanation:

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Ashley is preparing for a horse riding competition. She has trained her horse for 5 hours and has completed 150 rounds. At what

maxonik [38]

150/5 = 30

30 pounds per hour :)

I hope this helps!

3 0

2 years ago

Read 2 more answers

PLEASE HELP ME! Tom surveyed students in his English class and found that the mean time spent reading outside school is 35 minut

posledela

Answer:

Please

pelo

Step-by-step explanation:

ok que se puede decir que no la encuentro por la noche y que me voy para allá para allá para que me den una solución y me voy para allá y voy saliendo de ahí

4 0

3 years ago

shi x, miao w, and tchetgen tchetgen ej. (2020). multiply robust causal inference with double negative control adjustment for ca

fomenos

Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

What is unmeasured cofounding?

By definition, an unmeasured confounder is a variable that is connected to both the exposed and the result and could explain the apparent observed link.
The validity of interpretation in observational studies is threatened by unmeasured confounding. The use of negative control group to reduce unmeasured confounding has grown in acceptance and popularity in recent years.

Although they've been utilised mostly for bias detection, negative controls have a long history in laboratory sciences and epidemiology of ruling out non-causal causes. A pair of negative control exposure and outcome variables can be utilised to non-parametrically determine the average treatment effect (ATE) from observational data that is vulnerable to uncontrolled confounding, according to a recent study by Miao and colleagues.

Reliable causal inference based on observational studies is seriously threatened by unmeasured confounding.

Learn more about unmeasured confounding here:

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5 0

2 years ago

A data set consists of the following data points:

aleksley [76]

(3,5),
(5,8),
(6,13)
------
(14,26)/3

then use the point slope form of a line to find equation of line

 $y-y_1=m(x-x_1)
\\y - \frac{26}{3} = 2.5(x- \frac{14}{3})
\\y - \frac{26}{3} = \frac{5}{2} (x- \frac{14}{3})
\\y - \frac{26}{3} = \frac{5}{2} x- \frac{5}{2}\times\frac{14}{3}
\\y - \frac{26}{3} = \frac{5}{2} x- \frac{35}{3}
\\6y-52=15x-70
\\15x-6y-18=0$

Find y-intercept for x = 0.

 $15x-6y-18=0
\\15\times0-6y-18=0
\\-6y=18
\\y=-3$

4 0

3 years ago

Which classification best represents a triangle with side lengths 6 cm, 10 cm, and 12 cm?

likoan [24]

Answer:

obtuse because 6^2+10^2<10^2

Step-by-step explanation:

4 0

2 years ago