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Ksenya-84 [330]
2 years ago
5

PLEASE HELP EDGE STATS AND PROBABILITY QUIZ 1-4

Mathematics
1 answer:
zhuklara [117]2 years ago
5 0

Answer:

D. There is no association because the distribution of lunch preference is approximately the same among the pet groups.

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PLEASE HELP
poizon [28]
Part A
The given line passes through (-2,2) and it is parallel to the line

4x - 3y - 7 = 0


We need to determine the slope of this line by writing it in slope -intercept form.


3y = 4x - 7


y =  \frac{4}{3} x -  \frac{7}{3}
The slope of this line is
\frac{4}{3}


The line parallel to this line also has slope

m =  \frac{4}{3}


The equation is

y =  \frac{4}{3} x + c


We substitute (-2,2)

2 =  \frac{4}{3}( - 2)  + c


c = 2 + \frac{8}{3}  =  \frac{14}{3}


The required equation is


y =  \frac{4}{3} x + \frac{14}{3}


PART B


The given line is


4x - 3y - 7 = 0




The slope of this line is
\frac{4}{3}


The slope of the line perpendicular to it is

m = -  \frac{3}{4}

The equation of the line is

y =  -  \frac{ 3}{4} x + c




We substitute the point, (-2,2)



2=  -  \frac{ 3}{4} ( - 2) + c


2=  \frac{ 3}{2}  + c



c = 2 -  \frac{3}{2}  =  \frac{1}{2}


The equation of the perpendicular line is


y=  -  \frac{ 3}{4} x +  \frac{1}{2}
6 0
3 years ago
In a multiple linear regression analysis, statistical model utility is determined by the value of R2 and 2s, while practical mod
Natali [406]

Answer:

This statement is true because if F statistics is significant, then the entire multiple regression model is useful for the prediction of y.

Step-by-step explanation:

Solution:

In a multiple linear regression analysis, the statistical model utility is determined by the value of R2 and ∂2, while the Global F test p-value determines the practical model.

This statement is true because if F statistics is significant, then the entire multiple regression model is useful for the prediction of y.

The F test is a statistical test that is very flexible. F test can evaluate multiple model terms.

The F test indicates whether a linear regression model provides a better fit to data than a model that contains no independent variable.

The F test for overall significance has two hypotheses:

1- Null hypothesis:

                              The fit of the intercept only model and your model are equal.

2- Alternative hypothesis:

                               The fit of the intercept-only model is significantly reduced compared to your model.

Compare p-value for the F test,

If the p-value is less than the significance level, the sample data provide sufficient evidence  that the regression model fits the data better with no independent variable.

5 0
2 years ago
<img src="https://tex.z-dn.net/?f=6%28x%2B6%29%3D7%28x-9%29" id="TexFormula1" title="6(x+6)=7(x-9)" alt="6(x+6)=7(x-9)" align="a
umka2103 [35]

Answer:

x= 99

Step-by-step explanation:

first we open brackets

6x+36=7x-63

transpose

6x-7x= -63-36

-x=-99

the signs cancel each other so

x= 99

4 0
2 years ago
Write the integer that represents the opposite of each situation<br> 100 feet above sea level
Sveta_85 [38]
The answer is 100 m below sea level
6 0
2 years ago
State the domain and range of both the function and the inverse function. f(x) = 8 x + 8 f -1(x) = Domain of f(x): Range of f(x)
Katena32 [7]

Answer:

f^{-1}(x) = \frac{x+8}{8}

Domain of f(x): All real values.

Range of f(x): All real values.

Domain of f -1(x): All real values.

Range of f -1(x): All real values

Step-by-step explanation:

We are given the following function:

f(x) = 8x + 8

Since it is a line, we have that both the domain is the range is the real set.

Inverse function:

The domain of the inverse function is the range of the original function, and the range of the inverse function is the domain of the original function.

Finding the inverse function:

Exchange x and y in the original function, and isolate y. So

Original

y = 8x + 8

Exchanging:

x = 8y - 8

Isolating y:

8y = x + 8

y = \frac{x+8}{8}

f^{-1}(x) = \frac{x+8}{8}

5 0
3 years ago
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