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Tom [10]
3 years ago
12

A paintball court charges an initial entrance fee plus a fixed price per ball. The variable ppp models the total price (in dolla

rs) as a function of nnn, the number of balls used. p=0.80n+5.50p=0.80n+5.50p, equals, 0, point, 80, n, plus, 5, point, 50 What is the entrance fee? \$
Mathematics
2 answers:
Tems11 [23]3 years ago
8 0

Answer: the answer is 8.

Step-by-step explanation:

DaniilM [7]3 years ago
7 0

Answer:

$5.50

Step-by-step explanation:

The function we are given is

p = 0.80n + 5.50,

where n is the number of balls.

Multiplying this variable by 0.80 means $0.80 will be the cost per ball.  The additional amount added to the variable in the function, 5.50, will be the entrance fee.

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In a study relating the degree of warping, in mm, of a copper plate (y) to temperature in °C (x), the following summary statisti
kipiarov [429]

Answer:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

Step-by-step explanation:

Linear regression is a way "to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables)".

Regression estimates are "used to describe data and to explain the relationship between one dependent variable and one or more independent variables"

The linear model is given by the following equation Y=mx +b, where y is the dependent variable, x the independent variable, m the slope and b the intercept.

For this case we have the following info given:

\sum_{i=1}^n (x_i -\bar x)^2 =98775

\sum_{i=1}^n (y_i -\bar y)^2 =19.4

\bar x =26.36

\bar y =0.5188

n= 40  represent the sample size

\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y) =796.94

The total sum of squares is given by this formula:

SST= \sum_{i=1}^n (y_i -\bar y)^2 =19.4

And from the formulas for a simple regression, we need to calculate the slope for the regression like this:

m=\frac{\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)}{\sum_{i=1}^n (x_i -\bar x)^2}

And if we replace the values given we have:

m=\frac{796.94}{98775}=0.008068

We have another useful equation in order to find the sum of squares for the regression, given by:

SSR=m* \sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)=0.008068*796.94=6.430

And we know this equivalence:

SST= SSR+SSE

And solving for the sum of squares for the error we have:

SSE=SST-SSR=19.4-6.430=12.97

So then we have the final solutions:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

6 0
3 years ago
Andrew has one book that is 237 inches thick and a second book that is 3.56 inches thick. If he stacks the books, about how tall
sattari [20]
You just add the thickness of the 2 books which is 237+3.56=240.56
Then you round the hundredth place which is 5 and next to it is the number 6 and that’s 5+ so it’s going up by a number. The answer is 240.6 inches tall. I tried explaining it well so sorry if you didn’t understand.
3 0
3 years ago
Please help me solve this equation 2x+y=10
krek1111 [17]
This is the answer
2x + y = 10 \\ y =  - 2x + 10

if substitute 1 and 2 and 3 as x then the points will be :
\binom{x}{y}   \:  \:  \:  \:  \:  \: \binom{1}{8} \:  \:  \:  \:  \:  \:  \binom{2}{6}   \:  \:  \:  \:  \:  \:  \binom{3}{4}


and that's the picture



good luck

7 0
2 years ago
A line segment has endpoints at (–1, 4) and (4, 1). Which reflection will produce an image with endpoints at (–4, 1) and (–1, –4
katrin2010 [14]

Answer:- A reflection of the line segment across the line y = –x .


Explanation:-

A reflection over the line y = -x, the x-coordinate and y-coordinate interchange their places and they are negated (the signs are changed).

Given :- A line segment has endpoints at (–1, 4) and (4, 1) such that it reflects produce an image with endpoints at (–4, 1) and (–1, –4).

(-1, 4)→(-4, 1) and

(4, 1)→(-1, -4)

Thus this shows a reflection of the line segment across the line y = –x.

4 0
2 years ago
Read 2 more answers
What equals 93 ease say something good
Anit [1.1K]
Ninety five plus negative two
8 0
3 years ago
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