The scenario represents a linear function. The rate is at a constant increase therefore it is linear.
Linear because it’s a constant rate
Since it’s doubled, and doesn’t go at a constant rate, it is a exponential function
Exponential since it increases by a multiplicative rate. It’s not constant
I believe it is false because it only passes through the y-axis not the x-axis.
Answer:
f(g) = -3( x^2 -x-6) -6 = -3x^2+3x+12
Answer:
The probability that she will not get a hit until her fourth time at bat in a game is 0.103
Step-by-step explanation:
Previous concepts
The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"
Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:
Solution to the problem
For this case we want this probability

And using the probability mass function we got:
The probability that she will not get a hit until her fourth time at bat in a game is 0.103
Slope-intercpet is y=mx+b where m=slope
b=y intercept
convert
-2x+7y=28
add 2x to both sides
7y=2x+28
divide both sides by 7
y=2/7x+4
slope=2/7
y-intercept=4 or the point (0,4)