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pishuonlain [190]
2 years ago
11

The function f(x)=-4x^2+18x+16 models the predicted sales of a hat after x price increases. Use the table showing actual and pre

dicted sales to find the residuals for the model.

Mathematics
1 answer:
denpristay [2]2 years ago
7 0

Answer:

3.2 Least-Squares Regression & Residuals ... Slope - The amount of soda is predicted to increase by ... of the explanatory variable x used to obtain the line.

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Giving brainiest with legit answer is my answers correct?
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Yes, this is all correct!
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If georgina travels 355 km in 7 hours how far will she travel in 8.5 hours at the same rate
rosijanka [135]
She'll have traveled approximately 431.07 km in 8.5 hours, also, 267.85448 miles per hour.
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3 years ago
Help please!!!!!!!!!!!!! Explain if possible
iris [78.8K]
Answer is C.
For every option, sub in the value and find the answer that matches the equation!

Example for option A, F(x) = x + 4 and G(x) = x²
G(F(x)) = G(x + 4) ーー> sub in the value of F(x)
Let's take the subbed in value, (x + 4) as x, and this x will be the x for G(x).

∴ Since G(x) is x²
G(x + 4) = (x + 4)² ーー> remember (x + 4) is represented as x.
= x² + 16
∴ You know that the answer is not A, do this for all options and you'll find the answer, C!

4 0
3 years ago
REWARDING BRAINLY TO CORRECT ANSWER
Jlenok [28]

Answer:

D

Step-by-step explanation:

Add them all then divide the amount of numbers added.

5 0
2 years ago
Read 2 more answers
Harrison Water Sports has two retail outlets: Seattle and Portland. The Seattle store does 60 percent of the total sales in a ye
Anna11 [10]

Answer: P = 0.75

Step-by-step explanation:

Hi!

The sample space of this problems is the set of all the possible sales. It is divided in the disjoint sets:

S_s = {\text{sales made in Seattle }}\\S_p={\text {sales made in Portland}}

We have also the set of sales of boat accesories S_b, the colored one in the image.

We are given the data:

P(S_s) = 0.6\\P(S_b | S_s) = \frac{P(S_b\bigcap S_s)}{P(S_s)}=0.4\\P(S_b|S_p) =\frac{P(S_b\bigcap S_p)}{P(S_p)}=0.2

From these relations you can compute the probabilities of the intersections colored in the image:

pink\;set:\;P(S_b \bigcap S_s) =0.6*0.4=0.24\\blue\;set\;:P(S_b \bigcap S_p)=(1-0.6)*0.2 =0.08

You are asked about the conditional probability:

P(S_s|S_b) = \frac{P(S_s \bigcap S_b)}{P(S_b)}

To calculate this, you need  P(S_b) . In the image you can see that the set S_b is the union of the two disjoint pink and blue sets. Then:

P(S_b)=P((S_b \bigcap S_s)\bigcup(S_b \bigcap S_p)) = 0.24 + 0.08 = 0.32

Finally:

P(S_s|S_b) = \frac{0.24}{0.32}=0.75

4 0
3 years ago
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